Artificial Intelligence Crash Course 2023: A Comprehensive Guide to AI
- December 26, 2023
- Posted by: MainInstructor
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Video Title: Artificial Intelligence Crash Course 2023: A Comprehensive Guide to AI
Artificial intelligence AI is a branch of computer science that deals with the development of machines that can perform tasks that typically require human intelligence such as visual perception speech recognition decision making and language translation the goal of AI is to create intelligent machines that can think reason and learn like humans these machines
Are designed to mimic human cognitive abilities and make decisions based on data algorithms and statistical models AI has the potential to revolutionize many fields including Healthcare Finance education and transportation it has already led to significant advancements in areas such as speech recognition natural language processing and computer vision
The idea of creating machines that can perform intelligent tasks dates back to ancient times the Greek myth of Talos a giant bronze automaton that guarded the island of Crete is an early example of this concept however the modern history of AI begins in the mid-20th century
With the development of electronic computers in 1950 the British mathematician and computer scientist Alan Turing proposed the Turing test a method for determining whether a machine can exhibit intelligent behavior that is indistinguishable from that of a human this idea laid the foundation
For the development of AI in the 1950s and 1960s researchers began to develop algorithms and programs that could perform simple tasks such as playing chess and solving mathematical problems the term artificial intelligence was coined in 1956 by John McCarthy Marvin Minsky Nathaniel Rochester and Claude Shannon at the Dartmouth Conference during the 1970s
And 1980s AI research faced setbacks due to technical limitations and unrealistic expectations however the development of expert systems which are computer programs that can simulate the decision-making ability of a human expert in a specific field renewed interest in AI researched during the 1990s and 2000s advances in computing power and data storage capacity
Led to the development of machine learning a technique that allows machines to learn from experience and improve their performance over time this led to significant advancements in areas such as speech recognition natural language processing and computer vision in recent years deep learning a type of machine learning that uses artificial neural networks
To simulate the structure and function of the human brain has revolutionized the field of AI deep learning has led to breakthroughs in areas such as image and speech recognition natural language processing and Robotics today AI is used in a wide range of applications
Including self-driving cars virtual personal assistance and medical diagnosis it is expected to continue to have a significant impact on many aspects of society in the future before going deeper make sure to subscribe to our Channel it costs nothing and helps the channel grow
Artificial intelligence AI can be classified into different types based on their capabilities and functions the three main types of AI are as follows narrow or weak AI narrow or weak AI is designed to perform a specific task or set of tasks this type of AI is trained
On a limited data set and performs well only in a specific domain it was designed for examples of narrow or weak AI include image and speech recognition language translation and virtual personal assistants like Siri and Alexa general or strong AI general or strong AI is designed
To perform any intellectual task that a human can do this type of AI has the ability to reason learn and adapt to new situations general or strong AI does not exist yet and is a goal for future AI development artificial super intelligence artificial super intelligence
Is an extension of general or strong AI it is an AI system that surpasses human intelligence in every possible way artificial super intelligence does not exist yet but it is a theoretical concept that has gained attention in recent years artificial intelligence is being used in various applications to improve efficiency accuracy
In decision making some of the key applications of AI are as follows Healthcare AI is being used in healthcare to improve patient outcomes and reduce costs AI powered systems can help doctors diagnose diseases personalize treatments and monitor patients remotely Finance AI is
Being used in finance to detect fraud manage risk and automate customer service AI powered chat Bots are being used by financial institutions to provide personalized assistance to customers Transportation AI is being used in transportation to improve safety efficiency and sustainability
Self-driving cars use AI to navigate roads avoid obstacles and make decisions in real time education AI is being used in education to personalize learning and improve student outcomes AI power tutoring systems can adapt to the individual needs of students and provide
Feedback to teachers manufacturing AI is being used in manufacturing to improve productivity quality and safety ai-powered robots are being used to perform tasks such as assembly welding and inspection retail AI is being used in retail to improve customer experience and increase sales AI powered systems can analyze customer data to provide personalized recommendations
And improve Inventory management agriculture AI is being used in agriculture to improve crop yields reduce waste and optimize resource usage AI powered systems can analyze data from sensors and drones to provide insights on soil Health crop growth and weather patterns artificial intelligence AI has the potential to bring about significant benefits to society
However it also raises ethical concerns that need to be addressed some of the key ethical considerations related to AI are as follows bias and fairness AI systems can perpetuate and amplify biases present in society leading to unfair treatment of certain groups it is
Essential to ensure that AI systems are designed and developed in a way that is fair and unbiased privacy AI systems often collect and analyze vast amounts of personal data raising concerns about privacy and data protection it is essential to ensure that AI systems are designed and
Developed in a way that respects individuals privacy rights accountability AI systems can make decisions that have significant consequences for individuals and society as a whole it is essential to ensure that there is accountability for the decisions made by AI systems and that
Individuals can challenge and appeal those decisions transparency AI systems can be complex and difficult to understand making it challenging to assess their impact and ensure accountability it is essential to ensure that AI systems are transparent and explainable so that individuals can understand how decisions are made safety AI systems can have unintended consequences
And pose risks to human safety it is essential to ensure that AI systems are designed and developed in a way that is safe and does not pose a threat to individuals or Society employment AI has the potential to automate many jobs leading to job displacement and unemployment
It is essential to ensure that AI is developed and used in a way that supports human employment and creates new job opportunities machine learning is a subset of artificial intelligence AI that involves teaching machines to learn from data and improve their performance over time ml algorithms use statistical techniques
To enable machines to identify patterns and make predictions without being explicitly programmed there are three main types of ml supervised learning unsupervised learning and reinforcement learning supervised learning and supervised learning machines are trained on label data meaning that the data is already categorized or classified the machine learns
To recognize patterns in the label data and can then use that knowledge to make predictions about new unlabeled data unsupervised learning in unsupervised learning machines are trained on unlabeled data meaning that the data is not categorized or classified the machine
Learns to identify patterns and relationships in the data without any prior knowledge of what the data represents reinforcement learning in reinforcement learning machines learn by interacting with an environment and receiving feedback in the form of Rewards or penalties the machine learns to make decisions that maximize its reward and minimize its penalties
Over time machine learning is used in various applications such as image and speech recognition natural language processing and predictive modeling ml algorithms can also be used for anomaly detection fraud detection and recommendation systems supervised learning is a type of machine learning where machines are trained on label data meaning
That the data is already categorized or classified the machine learns to recognize patterns in the label data and can then use that knowledge to make predictions about new unlabeled data supervised learning can be further classified into two categories classification and regression
Classification and classification the goal is to predict the category or class that a new observation belongs to for example a spam filter might be trained to classify emails as either spam or non-spam regression in regression the goal is to predict a numerical value for
A new observation for example a regression model might be trained to predict the price of a house based on its features such as size location and number of bedrooms supervised learning algorithms include decision trees random forests support Vector machines and
Neural networks these algorithms are trained on a subset of the label data known as the training set and their performance is evaluated on another subset of the label data known as the validation set or test set supervised learning is used in various applications such
As image and speech recognition natural language processing and recommendation systems it has the potential to improve decision making and automate tasks in various fields unsupervised learning is a type of machine learning where machines are trained on unlabeled data meaning that the data is not categorized or classified the machine learns to identify
Patterns and relationships in the data without any prior knowledge of what the data represents unsupervised learning can be further classified into two categories clustering and Association clustering and clustering the goal is to group similar data points together based on their
Features or attributes for example a clustering algorithm might be used to group customers based on their purchasing Behavior Association in association the goal is to find patterns or associations between different features or attributes of the data for example an association
Rule mining algorithm might be used to identify which products are frequently purchased together unsupervised learning algorithms include k-means clustering hierarchical clustering and principle component analysis these algorithms are train on the unlabeled data and their performance is evaluated based on their ability to identify patterns and relationships in the data unsupervised
Learning is used in various applications such as anomaly detection Market Basket analysis and data compression it has the potential to identify hidden patterns in data and provide insights into complex systems [Music] reinforcement learning is a type of machine learning where
Machines learn by interacting with an environment and receiving feedback in the form of Rewards or penalties the machine learns to make decisions that maximize its reward and minimize its penalties over time reinforcement learning involves an agent a set of possible actions
And an environment the agent chooses an action and the environment responds by providing a reward or penalty based on the action the agent learns to optimize its actions over time by maximizing its reward and minimizing its penalty reinforcement learning algorithms include Q learning policy gradients and actor critic algorithms these algorithms are trained
Through trial and error as the agent learns to explore the environment and optimize its actions based on the feedback it receives reinforcement learning is used in various applications such as robotics game playing and autonomous driving it has the potential to create intelligent systems that can learn and adapt to new situations
Machine learning has become an integral part of various Industries including Healthcare Finance retail and entertainment Sheen learning algorithms can analyze large amounts of data and identify patterns that can be used to make predictions automate tasks and improve decision making some of the key applications of machine learning are as follows image and
Speech recognition machine learning algorithms can identify and classify images and speech they can be used to develop applications such as facial recognition Voice assistance and image search engines natural language processing machine learning algorithms can analyze and understand human language they can be used to develop applications such as chat Bots
Sentiment analysis and language translation predictive modeling machine learning algorithms can make predictions based on historical data they can be used to develop applications such as fraud detection custom return prediction and credit scoring recommendation systems machine learning algorithms can analyze user behavior and provide personalized recommendations
They can be used to develop applications such as product recommendations content recommendations and music recommendations autonomous vehicles machine learning algorithms can enable vehicles to drive themselves by analyzing sensor data and making decisions in real time they can be used to develop applications such as self-driving cars drones and robots
Deep learning is a subset of machine learning that involves training algorithms to recognize patterns and make decisions based on data it is based on the concept of artificial mural networks which are inspired by the structure and function of the human brain deep learning
Algorithms are designed to process large amounts of data identify patterns and make predictions or decisions based on the patterns this is done through the use of artificial neural networks which are composed of layers of interconnected nodes each node in a neural network performs
A simple mathematical operation and the output of one node is used as the input for the next node in the network the layers in the network are trained to recognize different features of the input data and the output of the network is a prediction or decision based on the patterns
Identified in the input data deep learning has been successful in various applications such as image and speech recognition natural language processing and autonomous vehicles it has enabled the development of systems that can learn adapt and make decisions on their own without the need for explicit programming deep learning algorithms include convolutional
Neural networks cnns recurrent neural networks rnns and deep belief networks bbns these algorithms have multiple layers of nodes which enable them to process more complex data and make more accurate predictions foreign networks are a key component of deep learning algorithms they are composed of layers of
Interconnected nodes which are modeled after the neurons in the human brain the basic unit of a neural network is a node which receives input from other nodes or external sources performs a mathematical operation on the input and produces an output nodes are arranged
In layers with each layer processing a different aspect of the input data the input layer receives data from the external World such as images text or sound the output layer produces the final result such as a classification or prediction in between the input and output layers there
Can be one or more hidden layers that process the input data to identify relevant features and patterns neural networks are trained using a process called back propagation where the error between the predicted output and the actual output is propagated backward through
The layers of the network and the weights of the connections between nodes are adjusted to minimize the error there are various types of neural networks used in deep learning including feed forward neural networks convolutional neural networks and recurrent neural networks
Each type of network is suited for different types of tasks such as image recognition natural language processing and time series analysis convolutional neural networks cnns are a type of neural network commonly used in deep learning for image and video recognition as well as other tasks involving spatial data cnns are
Designed to process data with a grid-like topology such as images by exploiting the spatial correlation of the data cnns are composed of multiple layers including convolutional layers pooling layers and fully connected layers in convolutional layers the network performs a convolution operation on the input data using a set of filters or kernels the
Output of each filter is a feature map that highlights a particular aspect of the input data such as edges textures or shapes in pooling layers the network reduces the spatial size of the feature maps by down sampling which helps to reduce the number of parameters and
Computational complexity of the network in fully connected layers the network performs a traditional neural network work operation where each neuron in the layer is connected to every neuron in the previous layer CNN are trained using back propagation where the error between the predicted output and actual output is propagated backward through the
Layers of the network and the weights of the connections between nodes are adjusted to minimize the error cnns have been successful in various applications such as image and speech recognition object detection and autonomous vehicles they have enabled the development of systems that can recognize and classify complex patterns in images and videos with
High accuracy and speed [Music] recurrent neural networks rnns are a type of neural network commonly used in deep learning for sequential data such as time series data or natural language text RNN are designed to process data with temporal dependencies where the output at one time
Step depends on the output of previous time steps RNN are composed of multiple layers with each layer processing one-time step of the input data the output of each layer is passed as input to the next layer creating a feedback loop that allows the network to
Learn from previous time steps the basic unit of an RNN is a cell which contains a hidden state that is updated at each time step based on the input and previous hidden state the output of the cell is passed to the next time step as input and the hidden state is used
To capture the temporal dependencies of the input data RNN are trained using back propagation through time where the error between the predicted output and actual output is propagated backward through the layers of the network and the weights of the connections between nodes are
Adjusted to minimize the error RNN have been successful in various applications such as speech recognition natural language processing and time series analysis they have enabled the development of systems that can generate text translate languages and predict future values based on past values foreign
Ing has enabled the development of intelligent systems that can learn adapt and make decisions on their own without the need for explicit programming it has been successful in various applications such as image and speech recognition natural language processing and autonomous
Vehicles one of the most prominent applications of deep learning is image and speech recognition deep learning algorithms such as convolutional neural networks CNN have achieved state-of-the-art performance on image recognition tasks such as object detection and image classification similarly recurrent neural networks RNN have been successful in speech recognition tasks
Such as speech to text conversion another important application of deep learning is natural language processing NLP deep learning algorithms such as long short-term memory lstm networks have been successful in various NLP tasks such as sentiment analysis text classification and named entity recognition deep learning has also enabled the development
Of autonomous vehicles which can perceive and respond to their environment without human intervention deep learning algorithms such as cnns and rnns are used for tasks such as object detection Lane detection and trajectory planning in addition deep learning has been used in various Fields such as Healthcare finance and cyber security for example deep
Learning algorithms have been used to diagnose diseases from medical images predict stock prices and detect fraudulent transactions natural language processing NLP is a subfield of artificial intelligence that focuses on enabling computers to understand interpret and generate human language it involves the development of algorithms and models that can analyze and manipulate natural language
Data such as text speech and dialogue NLP is used in various applications such as chat Bots virtual assistants sentiment analysis text classification and machine translation it involves various tasks such as syntactic analysis semantic analysis and discourse analysis syntactic analysis involves the study of the grammatical structure of sentences such as
Parts of speech sentence structure and syntax semantic analysis involves the study of the meaning of words in their relationships such as Word Sense disambiguation and named entity recognition discourse analysis involves the study of the structure and coherence of text such as topic modeling and summarization NLP algorithms and models are typically based
On machine learning and deep learning techniques such as convolutional neural networks CNN and recurrent neural networks RNN these algorithms and models are trained on large data sets of natural language data such as corpora and annotated data sets to learn patterns and relationships in the data
Natural language processing NLP has various applications in different fields including Healthcare education finance and customer service sentiment analysis sentiment analysis involves the analysis of Text data to determine the sentiment of the text whether it is positive negative or neutral it is used in various applications such as social media monitoring
Customer feedback analysis and market research machine translation machine translation involves the automatic translation of text from one language to another it is used in various applications such as language learning communication and cross-border e-commerce chat Bots and virtual assistants chat Bots and virtual assistants are intelligent agents that can interact with
Users in natural language they are used in various applications such as customer service personal assistance and sales support named entity recognition named entity recognition ner involves the identification and classification of named entities in text into predefined categories such as person organization location and date it is used in various applications
Such as information extraction document classification and question answering text summarization text summarization involves the extraction of key information from Text data and presenting it in a condensed form it is used in various applications such as news article summarization document summarization and email summarization text classification text classification involves
The categorization of text into predefined categories or classes it is used in various applications such as sentiment analysis topic modeling and spam filtering computer vision is a subfield of artificial intelligence that teaches machines to interpret and understand visual data from the world around us it has been an active area of research
For many years and has made significant progress in recent years computer vision has a wide range of applications from self-driving cars to facial recognition and medical image analysis computer vision involves processing visual data such as images and videos to extract
Useful information this information can then be used to perform a variety of tasks such as recognizing objects detecting faces and tracking movements image recognition is a fundamental task in computer vision it involves identifying objects or patterns within an image machine learning algorithms are trained on large data sets
Of labeled images to recognize different objects and patterns object detection is a more complex task that involves identifying specific objects within an image and drawing bounding boxes around them this task requires the use of advanced algorithms such as YOLO you only look once and rcnn region-based convolutional neural networks
Semantic segmentation is another advanced task in computer vision that involves assigning a label to each pixel in an image this task requires the use of deep learning techniques such as fully convolutional Networks fcn computer vision involves the use of various machine learning and deep learning techniques
To analyze and interpret visual data convolutional neural networks cnns are the most commonly used deep learning technique in computer vision they consist of layers of interconnected neurons that can learn to recognize specific features in an image other deep learning techniques used in computer vision include recurrent neural networks RNN generative adversarial
Networks Gan and deep reinforcement learning computer vision faces several challenges including noisy low quality and large-scale data another challenge is ensuring that the algorithms used in computer vision are robust to changes in lighting conditions scale and rotation [Music] computer vision has a wide range of
Applications in different Industries including Healthcare security and Manufacturing in healthcare computer vision is used to analyze medical images and assist in the diagnosis of diseases insecurity computer vision is used for facial recognition and object detection to improve Public Safety in manufacturing computer vision is used for quality control and defect detection
In production lines [Music] Robotics and AI are two closely related fields that are working together to create Advanced robotic systems that can perform tasks autonomously [Music] a robotic system consists of several key components including sensors actuators and control systems sensors
Are used to detect and measure the physical world while actuators are used to manipulate it control systems are used to interpret sensor data and provide commands to the actuators AI algorithms are used to provide decision-making capabilities to the control system the AI
Algorithms take in sensor data and provide commands to the control system to determine how the robotic system should act there are many different types of robots each with their own unique set of challenges some examples of robots include industrial robots these robots are used in manufacturing and
Perform tasks such as welding painting and assembly autonomous robots these robots are used in environments that are dangerous or difficult for humans to operate in for example autonomous robots can be used in space exploration where humans cannot survive without life support
Social robots these robots are designed to interact with humans and provide assistance or companionship for example social robots can be used in healthcare settings to help patients with tasks or provide companionship one of the key challenges in the field of
Robotics and AI is the need for reliable and accurate performance this requires the development of sophisticated algorithms and control systems as well as the use of advanced sensing Technologies and Hardware another challenge is the ethical implications associated with Advanced robotic
Systems for example there are concerns about the potential for job displacement as robots become more advanced and are able to perform tasks that were previously done by humans there’s also a need to ensure safety and accountability in autonomous systems as robots become more
Intelligent and autonomous there is a risk of unintended consequences if they are not programmed correctly as the use of advanced robotic systems becomes more widespread there are ethical implications that must be considered one of the key ethical concerns is the potential
For job displacement as robots become more advanced and are able to perform tasks that were previously done by humans another ethical concern is the potential for unintended consequences if robots are not programmed correctly for example a self-driving car may make a decision
That is harmful to humans if it is not programmed to prioritize human safety as Robotics and artificial intelligence AI continue to advance the potential applications of these Technologies are becoming increasingly diverse and exciting let’s explore some of the potential future applications of Robotics and AI one potential application of Robotics
And AI is in the development of Smart Homes Smart Homes are homes that are equipped with sensors cameras and other technologies that allow for remote monitoring and control of various systems and appliances for example a smart home could be equipped with a robotic
Vacuum cleaner that automatically cleans the floors when the homeowner is away in addition Smart Homes could be equipped with ai-powered personal assistance that can help with tasks such as scheduling appointments and ordering groceries another potential application of
Robotics and AI is in the healthcare industry robots and AI systems could be used to monitor patients and provide assistance with tasks such as administering medication and providing physical therapy for example a robot could be used to monitor a patient’s Vital Signs
And alert Health Care Providers if there are any changes that require attention in addition robots could be used to assist with physical therapy exercises providing patients with personalized feedback and guidance robots and AI systems could also have a significant impact on Transportation self-driving cars
And trucks are already being developed and tested and these systems have the potential to greatly reduce accidents and improve traffic flow in addition robots could be used for tasks such as package delivery reducing the need for human drivers and improving efficiency
Finally Robotics and AI could play a significant role in space exploration robots could be used to explore the surface of other planets and moons collecting samples and conducting experiments in addition robots could be used to build and maintain infrastructure on other
Planets making it possible for humans to live and work in space for extended periods of time [Music] artificial intelligence AI is rapidly transforming the job market with some jobs becoming automated and new jobs emerging that require AI skills while AI has the potential
To improve efficiency and productivity in many Industries it is also creating concerns about Job displacement and the need for new skill sets one of the most significant impacts of AI unemployment is the potential for job displacement as AI becomes more advanced it has the ability to automate tasks that were previously performed
By humans such as data entry customer service and Manufacturing this has led to concerns about the loss of jobs and the need for workers to acquire new skills in order to remain employable however it is important to note that while AI may lead to job displacement in certain
Industries it is also creating new job opportunities in other areas such as AI development and data analysis Sai continues to evolve it is creating new job opportunities that require specialized skills in AI development data analysis and machine learning these jobs are
In high demand and offer High salaries making them an attractive career choice for many workers in addition AI is also creating new job opportunities in industries that are leveraging AI to improve efficiency and productivity for example in the healthcare industry a power
Tools are being used to improve patient outcomes and reduce costs creating new job opportunities for healthcare professionals who have expertise in AI as AI continues to transform the job market it is also creating a need for new skill sets workers who are able to adapt to
These changes and acquire new skills will be better positioned to remain employable in the future some of the skills that are in high demand in the AI job market include programming languages such as Python and our data analysis and machine learning skills
An experience with AI development Frameworks such as tensorflow and Keras in order to address the need for new skills in the AI job market many companies and organizations are implementing upskilling and reskilling programs for their employees these programs provide workers with
The opportunity to acquire new skills and stay competitive in the job market in addition governments and educational institutions are also implementing programs to support the development of AI skills for example in the United States the National Science Foundation
Has launched a program to support the development of AI skills and promote AI research [Music] artificial intelligence is transforming the healthcare industry by improving patient outcomes reducing costs and streamlining administrative tasks from diagnosis to treatment AI is being used to enhance the accuracy and efficiency of Health Care Services foreign is being used
To improve the accuracy and speed of medical diagnosis and treatment machine learning algorithms can analyze large data sets of medical information and identify patterns that may be difficult for humans to detect this can help Health Care Professionals to make more accurate diagnoses
And develop personalized treatment plans for patients in addition AI power tools such as virtual assistants and chat Bots are being used to improve patient engagement and adherence to treatment plans these tools can provide patients with personalized guidance and support
Improving their overall health care outcomes AI is also being used to enhance Medical Imaging such as x-rays CT scans and MRIs machine learning algorithms can analyze images and identify abnormalities that may be difficult for human Radiologists to detect this can lead to more
Accurate diagnoses and faster treatment for patients in addition AI power tools such as computer aided detection CAD systems can analyze medical images in real time helping to improve the efficiency of Medical Imaging services AI is being used to predict and prevent health
Issues before they become serious machine learning algorithms can analyze patient data and identify individuals who may be at risk of developing certain health conditions this can help Health Care Professionals to intervene early and provide preventative care to patients in addition AI power tools such as wearables and health monitoring apps can track patient
Data in real time providing patients with personalized Health recommendations and alerts when their health status changes AI is also being used to streamline administrative tasks in the healthcare industry a power tools such as chat Bots and virtual assistants can handle routine administrative tasks such as appointment scheduling and prescription refills freeing
Up Healthcare professionals to focus on more complex tasks in addition AI power tools such as electronic health records ehrs can improve the accuracy and accessibility of patient data reducing administrative errors and improving patient outcomes as AI continues to transform the healthcare industry there are ethical considerations that must be taken into account
One of the biggest concerns is the potential for AI to perpetuate biases in health care for example if AI algorithms are trained on data sets that are biased against certain populations this can lead to inaccurate diagnoses and treatment plans for those populations
In addition there are concerns about the security and privacy of patient data as a power tools collect and analyze large amounts of patient data it is important to ensure that this data is secure and protected from unauthorized access [Music] artificial intelligence is transforming the field of Education by providing personalized
Learning experiences automating administrative tasks and improving educational outcomes [Music] AI is being used to provide personalized learning experiences for students machine learning algorithms can analyze student data and identify individual learning styles and preferences this can help Educators to create tailored lesson plans that meet the needs of each student
In addition AI powered tools such as chat Bots and virtual assistants can provide students with personalized guidance and support helping them to stay engaged and motivated AI is also being used to automate administrative tasks in the education sector AI power tools such
As chat Bots and virtual assistants can handle routine administrative tasks such as scheduling grading and student communication this can free up Educators to focus on more important tasks such as lesson planning and student support AI is being used to improve educational outcomes by providing Educators with real-time insights
Into student Performance Machine learning algorithms can analyze student data and provide Educators with actionable insights into areas where students may be struggling this can help Educators to provide targeted support and intervention to students who need it most in addition AI power tools such as adaptive Learning Systems can help students to learn
At their own pace and in their own way improving their overall educational outcomes Sai continues to transform the education sector there are ethical considerations that must be taken into account one of the biggest concerns is the potential for AI to perpetuate biases
In education for example if AI algorithms are trained on data sets that are biased against certain populations this can lead to inaccurate assessments of student performance and perpetuate inequalities in the education system in addition there are concerns about the privacy and security
Of student data as a power tools collect and analyze large amounts of student data it is important to ensure that this data is secure and protected from unauthorized access artificial intelligence has the potential to improve Social Justice by promoting fairness
And equity in decision-making processes however there are also concerns that AI can perpetuate biases and inequalities further exacerbating social injustices AI can help to promote fairness and Equity by providing objective and data-driven decision-making for example AI can be used to remove subjective biases from hiring Decisions by analyzing resumes and identifying the most
Qualified candidates based on their skills and experience in addition AI can be used to identify and eliminate discriminatory practices in decision-making processes such as loan approvals and criminal justice sentencing while AI has the potential to promote fairness and Equity there are concerns that it can perpetuate biases and inequalities if not
Properly designed and implemented for example if AI algorithms are trained on bias data sets this can lead to discriminatory decision making to address this it is important to ensure that AI algorithms are designed to be transparent and accountable with human
Oversight to identify and address biases another concern with AI is the potential for it to exacerbate existing inequalities by favoring those with access to technology and data for example if AI is used in hiring decisions it may disadvantage those who do not have
Access to technology or who have limited access to Education and Training to address this it is important to ensure that AI is accessible to everyone and that its benefits are shared equitably Sai is increasingly used to address social justice issues there are ethical considerations
That must be taken into account one of the biggest concerns is the potential for AI to perpetuate systemic biases and inequalities if not designed and implemented properly in addition there are concerns about the potential for AI to be used to violate privacy rights and personal freedoms particularly in the criminal justice system [Music]
As AI continues to evolve and become more advanced it is important to consider the possibilities it presents and the challenges that come with them let’s discover how we can ensure that AI is developed and used in a way that benefits Humanity
Artificial intelligence is rapidly changing the world we live in and the pace of progress shows no signs of slowing down many experts believe that AI will continue to transform Society in the coming years with significant implications for both individuals and businesses
One of the most significant areas of growth for AI is in the field of Robotics and automation as AI becomes more advanced it will be able to perform more complex tasks such as driving cars and flying airplanes this could lead to significant changes in the workforce as
Many jobs that are currently done by humans may be automated in the future AI is already being used to improve personalization and customization in a variety of industries from Healthcare to retail in the future AI will be able to use vast amounts of data to create
Highly personalized experiences for individuals whether it’s in the form of personalized Medical Treatments or customized products and services AI is already being used to make predictions and analyze data in a variety of industries from Finance to Marketing in the future AI will become even more accurate and reliable
With the ability to analyze massive amounts of data in real time [Music] as AI continues to advance it will become more efficient and productive leading to significant cost savings and increased profitability for businesses this will also lead to Greater convenience
And ease for individuals as AI will be able to automate many routine tasks and provide more personalized and efficient services in the future AI will enable humans to collaborate more effectively with machines leading to new Innovations and breakthroughs in a variety of fields for example AI could be used to
Help humans design more efficient and effective products or to develop new drugs and Medical Treatments as AI becomes more advanced and integrated into our daily lives there will be significant ethical considerations that must be taken into account for example there are concerns
About the potential for AI to be used to violate privacy rights and personal freedoms or to perpetuate biases and inequalities foreign the concept of Singularity and AI super intelligence has been a popular topic of discussion among scientists and futurists in recent years the idea is that artificial intelligence becomes
More advanced it could eventually lead to a point where machines surpass human intelligence and we enter a new era of technological progress and possibility Singularity refers to the hypothetical moment in the future when machines become smarter than humans this could occur in a variety of ways such as through the development of
A super intelligent AI or the merging of human and machine intelligence some scientists and futurists believe that the singularity could represent a major turning point in human history with the potential to solve some of the world’s most pressing problems such as climate change
And disease however others have raised concerns about the potential dangers of the singularity such as the loss of human control over Advanced machines [Music] AI super intelligence refers to an artificial intelligence that surpasses human intelligence in every possible way this could include things like problem-solving ability creativity and emotional intelligence
The development of AI super intelligence is seen by many as the key to unlocking the full potential of AI and ushering in a new era of progress and Innovation however there are also significant concerns about the potential risks associated with super intelligent AI
Such as the possibility that machines could become uncontrollable or turn against humans the concept of the singularity and AI super intelligence is highly controversial with experts divided over the potential benefits and risks of advanced AI some argue that the singularity represents a potential golden age of human progress While others fear that
It could lead to catastrophic consequences for Humanity one of the main concerns about the singularity and AI super intelligence is the potential for machines to become uncontrollable or act in unpredictable ways this could be particularly dangerous if machines are used
For military or security purposes another concern is the potential for machines to replace humans in many areas of work leading to widespread job displacement and economic disruption the development of AI super intelligence is still a long way off and there are many challenges
That must be overcome before we reach that point however it is clear that AI will continue to play an increasingly important role in our lives and it is important to consider under the ethical and societal implications of this technology the concept of the singularity
In AI super intelligence is an intriguing one with the potential to revolutionize the way we live and work however it is important to consider the potential risks and ethical implications of advanced Ai and to ensure that we develop and implement this technology in a responsible and accountable way foreign
Telligence continues to develop at a rapid Pace many people are wondering what the role of humans will be in an AI driven World some are concerned that AI will eventually replace humans in many areas of work and life While others believe that humans will always play
A vital role in shaping the direction and impact of AI [Music] while AI is capable of many impressive Feats there are certain areas where humans still have a significant Advantage for example humans excel at tasks that require creativity empathy and social interaction
While AI is better suited for tasks that require data processing analysis and pattern recognition as such many experts believe that the best way to ensure a positive future for AI is to focus on developing a symbiotic relationship between humans and machines where each can
Contribute their unique strengths to solve complex problems and create new opportunities as AI continues to evolve it is likely that new opportunities will emerge for humans to work alongside Advanced machines in a variety of fields for example in the healthcare sector
AI is being used to improve Diagnostics and treatment options but human doctors and nurses still play a critical role in providing care and support to patients likewise in the business World AI can be used to analyze data and make predictions about future Trends but human
Managers and Executives still play a key role in making decisions and developing strategies as AI becomes more integrated into our lives it is important to consider the ethical implications of this technology for example who is responsible if an AI system makes a mistake or causes
Harm how do we ensure that AI is developed and used in a way that is fair and just for all people it is clear that humans will play a critical role in developing and implementing ethical standards for AI and ensuring that this technology is used in a way that benefits
Society as a whole thank you while the potential benefits of AI are vast there are also significant challenges that must be addressed in order to ensure a positive future for this technology for example how do we ensure that AI is developed in a way that is transparent and accountable
How do we ensure that AI is used in a way that is fair and Equitable for all people these challenges will require collaboration and cooperation between governments businesses and individuals as we work to develop a shared vision for the future of AI [Music] as Humanity
Continues to explore space and search for signs of extraterrestrial life artificial intelligence is becoming an increasingly important tool in this endeavor from robotic explorers to satellite networks AI is helping us to collect and analyze data from some of the
Most distant and inhospitable regions of our solar system and beyond [Music] one of the most obvious applications of AI in space exploration is in the development of robotic explorers these machines are designed to operate autonomously in extreme environments such as the surface
Of Mars or the icy moons of Jupiter by using AI algorithms these robots can make decisions in real time adapt to changing conditions and even learn from their experiences to improve their performance over time this allows us to explore areas that would be too dangerous
Or difficult for human astronauts while still Gathering valuable data and insights about our solar system [Music] in addition to robotic explorers AI is also being used to develop autonomous spacecraft that can navigate through space and perform complex tasks without human
Intervention for example NASA’s deep space Network uses AI to manage a network of satellites and ground stations ensuring that data is transmitted efficiently and effectively across vast distances this type of Technology will become increasingly important as we continue to explore deeper into space where communication delays and other challenges make it difficult
To control spacecraft in real time as the demand for Rare Minerals and resources continues to grow on Earth some companies are turning to space mining as a potential Solution by mining asteroids and other celestial bodies we could potentially access vast quantities of valuable resources without the environmental
Impact of traditional mining AI is likely to play a key role in this endeavor as it will be necessary to develop autonomous mining machines that can operate in Low Gravity environments and navigate complex terrain with precision one of the most exciting applications of AI in space exploration is in the search for
Extraterrestrial life by analyzing data from telescopes and other sensors AI algorithms can help us to identify patterns and anomalies that could indicate the presence of life on other planets or Moons for example NASA’s Kepler Mission used AI to analyze data from thousands of stars identifying potential candidates for exoplanets and other interesting phenomena
As AI continues to evolve it is likely that we will be able to detect even more subtle signals that could indicate the presence of life elsewhere in the universe AI is rapidly becoming a critical tool in space exploration allowing us to collect and analyze data from
Some of the most remote and hostile environments in our solar system and beyond whether we are exploring the surface of Mars searching for extraterrestrial life or mining Asteroids for resources AI will play a vital role in helping us to achieve our goals and Advance
Our understanding of the universe [Music] as AI continues to advance and become more integrated into our daily lives it is becoming increasingly important to consider the ethical and governance implications of these Technologies from privacy concerns to potential biases in decision-making algorithms there are a wide range of issues that need to be addressed
In order to ensure that AI is used in a responsible and ethical manner [Music] one of the most pressing concerns around AI is the potential for these Technologies to invade our privacy as AI systems become more sophisticated and able to analyze vast amounts of data there
Is a risk that they could be used to monitor our Behavior track our movements and collect sensitive personal information without our consent to address this issue it is important to establish clear guidelines around the collection storage and use of personal data companies
And organizations that use AI should be required to obtain explicit consent from individuals before collecting their data and should be held accountable for any misuse of that data [Music] another concern with AI is the potential for these systems to exhibit biases in decision
Making this can occur when the algorithms used in AI are based on biased data or assumptions leading to unfair or discriminatory outcomes to mitigate this risk it is important to develop AI systems that are transparent and accountable this means providing visibility into the data
And algorithms that are used in these systems in establishing clear standards for assessing the fairness and accuracy of their outputs [Music] one of the challenges with AI is the difficulty of assigning accountability when something goes wrong because these systems
Are often complex and involve multiple stakeholders it can be difficult to determine who is responsible for any negative outcomes that arise to address this issue it is important to establish clear lines of accountability and responsibility for AI systems this can include creating regulatory
Frameworks that hold companies and organizations accountable for the actions of their AI systems as well as developing processes for investigating and resolving disputes or issues that arise as AI becomes more pervasive and impacts more aspects of Our Lives it is important to consider
How these Technologies should be governed this includes questions around how AI systems should be regulated who should have access to them and how their use should be monitored to address these issues it is important to engage in open and transparent discussions
Around the governance of AI this includes working with stakeholders from a wide range of backgrounds including government officials industry leaders and experts in ethics and Technology to develop Frameworks that balance Innovation with responsible use [Music] artificial intelligence is already starting to impact our daily lives in a variety of
Ways and this trend is only going to continue in the coming years from the algorithms that power our social media feeds to The Voice assistance we use to control our homes AI is becoming increasingly ubiquitous and integrated into our daily routines one of the most significant
Ways that AI is impacting Our Lives is through the way we interact with technology advances in natural language processing and computer vision have made it possible to interact with technology in a more intuitive and human-like way allowing us to accomplish tasks more quickly
And efficiently than ever before AI is also transforming the way we work in Industries ranging from Finance to Health Care AI is being used to automate repetitive tasks and improve efficiency allowing workers to focus on more complex and high-level tasks this
Has the potential to create new opportunities for workers and drive economic growth in the home AI is already being used to control a variety of devices and appliances Voice assistance like Amazon’s Alexa and Google Assistant are becoming increasingly popular allowing us
To control our lights thermostats and entertainment systems with simple voice commands in the future we may see even more sophisticated AI systems that can anticipate our needs and preferences making our homes more comfortable and convenient of course as with any new technology
There are also potential downsides to the increased use of AI in our daily lives one concern is that AI systems may be used to manipulate or deceive us either through targeted advertising or by presenting us with biased information there is also a risk that AI systems
May be used to replace human workers leading to job loss and economic disruption as we move forward into a future that is increasingly defined by AI it is important to consider both the potential benefits and the potential risks of these Technologies by doing so we
Can work to ensure that AI is used in a responsible and ethical manner that benefits society as a whole foreign [Music] becomes increasingly integrated into our daily lives in the global economy it is important for individuals to understand both the opportunities and challenges that this technology presents
On one hand AI has the potential to create new jobs and opportunities in a variety of Industries while on the other hand it may also lead to job displacement and economic disruption one of the biggest opportunities presented by AI is the potential for increased
Productivity and efficiency by automating repetitive tasks and providing insights based on vast amounts of data AI can help workers to focus on higher level tasks that require creativity and problem solving skills this can lead to Greater job satisfaction and more fulfilling careers another opportunity presented by AI is the potential for Innovation and
Entrepreneurship as AI continues to evolve and become more sophisticated there will likely be new opportunities for individuals and businesses to create Innovative products and services that leverage this technology however there are also several challenges that individuals may face in an AI driven future one of the most significant challenges is the potential
For job displacement Sai systems become more advanced they may be able to perform tasks that were previously done by humans leading to job loss in certain industries another challenge is the potential for bias and discrimination in AI systems if AI algorithms are trained
On biased data they may perpetuate and even amplify existing social inequalities it is important for individuals to be aware of these issues and work to ensure that AI systems are designed and implemented in an ethical and responsible manner finally there is also
A concern that AI may be used to invade our privacy and monitor our Behavior as AI becomes more integrated into our homes and workplaces it is important for individuals to understand the implications of this technology and take steps to protect their personal data
As AI becomes increasingly integrated into our daily lives it is important for individuals to prepare for the changes and challenges that this technology presents here are some steps that individuals can take to prepare for an AI driven future [Music] as AI becomes
More prevalent there will likely be an increased demand for individuals with technical skills in areas such as data analysis programming and machine learning by developing these skills individuals can position themselves for new job opportunities and career advancement foreign skills are important it is also essential for individuals to develop soft skills such
As creativity problem solving and communication these skills will be in high demand as AI systems automate more routine tasks and human workers focus on higher level activities [Music] it is important for individuals to stay up to date on the latest developments in Ai and
The potential implications for their industry and career this can involve attending conferences reading industry Publications and engaging in online forums and communities Sai continues to evolve and disrupt various Industries individuals must be prepared to adapt and learn new skills throughout their careers embracing a lifelong learning mindset
Can help individuals stay ahead of the curve and remain competitive in the job market finally individuals can play a role in shaping the future of AI by advocating for ethical and responsible development and implementation of this technology this can involve engaging
With policy makers and Industry leaders as well as advocating for greater transparency and accountability in AI systems [Music] as AI becomes more prevalent in various Industries there will be a growing demand for professionals with specialized Knowledge and Skills in this area here are some tips for choosing a career path in AI
AI is a diverse field with many different areas of specialization from machine learning to computer vision to natural language processing start by identifying your strengths and interests as this can help you narrow down your options and find a career path that aligns with your skills and Passions
Depending on your career goals you may need to pursue additional education or training to develop the skills and knowledge necessary to succeed in AI this can involve pursuing a degree in computer science data science or a related field or taking specialized courses
Or training programs in areas such as machine learning or deep learning in addition to formal Education and Training it is important to gain practical experience working with AI Technologies this can involve participating in hackathons or competitions contributing to open source AI projects or completing internships or apprenticeships
With AI focused companies or organizations [Music] the field of AI is rapidly evolving and it is important to stay up to date on the latest trends and developments this can involve attending conferences reading industry Publications and engaging with online communities and forums
As AI continues to transform various Industries it is important to consider the ethical implications of this technology and how it may impact society when choosing a career path in AI consider how you can contribute to the development and implementation of responsible and ethical
AI systems choosing a career path in AI requires a combination of self-reflection Education and Training practical experience industry knowledge and a commitment to ethical and responsible AI development by taking these steps individuals can position themselves for success in this exciting and rapidly evolving field
As AI Technologies become more prevalent in our daily lives it is important for users to consider the ethical implications of their use AI systems have the potential to impact individuals communities and society as a whole by considering the ethical implications of
Their use AI users can ensure that they are using these Technologies in a responsible and ethical manner one ethical consideration for AI users is bias and fairness AI systems can perpetuate biases and inequalities present in society such as racial or gender bias this
Can result in unfair and discriminatory outcomes for individuals and groups it is important for users to ensure that these systems are designed and implemented in a fair and unbiased manner this can include using diverse data sets auditing AI systems for bias and providing
Feedback mechanisms to address any issues another ethical consideration for AI users is privacy AI systems often collect and use personal data which can raise concerns about privacy and data protection users should be aware of the data that AI systems are collecting
And how it is being used and protected this can include being informed about what data is being collected who has access to it and how it is being stored and secured transparency is also an important ethical consideration for AI users users should have access to information
About how AI systems work and make decisions this can help to build trust and accountability and ensure that AI systems are being used in a responsible and ethical manner this can include providing information about the algorithms used how the data is being used to train the
Systems and how decisions are being made safety is another important ethical consideration for AI users AI systems can have real-world impacts such as autonomous vehicles or medical diagnosis systems it is important to ensure that these systems are safe and reliable and
That they do not pose a risk to human health or safety this can include testing and certification processes as well as implementing fail-safes and emergency measures in case of system failures finally human oversight is an important ethical consideration when using AI systems while
AI systems can be powerful tools they should not replace human judgment and oversight it is important to ensure that there are mechanisms in place for humans to review and intervene in AI decisions when necessary this can include having human experts involved in the development
And training of AI systems as well as providing users with the ability to challenge and appeal AI decisions by considering these ethical considerations AI users can ensure that they are using these Technologies in a responsible and ethical manner this can help to promote
Trust fairness and accountability in the development and use of AI systems congratulations you’ve covered so much in this AI course video and we hope you found it insightful and inspiring if you’re eager to dive even deeper into the world of artificial intelligence we have some
Fantastic news for you the Cockney Plus app offers an incredible AI course that is everything you need to become a true expert in this field this comprehensive course on the cogni Plus app covers a wide range of AI topics from the fundamentals to the most cutting-edge
Techniques you’ll gain hands-on experience and build your skills with real world projects while learning from top-notch instructors who are passionate about AI don’t miss this opportunity to enhance your knowledge and unlock your potential in the ever-evolving world of artificial intelligence download the cogni Plus app today and embark on your
Journey towards AI mastery you can find the link in the description thank you so much for joining us in today’s video we hope you’ve enjoyed learning more about the fascinating world of artificial intelligence before you go please don’t forget to like this video
Subscribe to our Channel and hit the notification Bell to stay updated on our latest content if you have any questions or thoughts feel free to leave a comment down below we’d love to hear from you once again thank you for tuning in and we’ll see you in the next video
Until Then happy learning and stay curious all right
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❤❤❤❤❤❤❤😮😮😮😮😊😊🎉🎉🎉😮😮😊😊❤❤
This content's truly enlightening. If it speaks to you, a book of similar caliber awaits. "From Bytes to Consciousness: A Comprehensive Guide to Artificial Intelligence" by Stuart Mills
Appreciate this deep dive? I've come across a book that parallels these themes. "From Bytes to Consciousness: A Comprehensive Guide to Artificial Intelligence" by Stuart Mills
This video was very informative and it has open my eye into the future with AI.
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This is probably a good video. But the monotone narrative made it impossible to watch.
"They got AI that can turn me into A.I."
Didn't watch bc of loud music
❤loved it! Thank you 😊
🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷🐷
Amazing.
جامعه هوش مصنوعی ایران از شما تقدیر می کند.
🙏
جامعه هوش مصنوعی ایران | SimurghAI به عنوان بزرگترین جامعه هوش مصنوعی ایران از شما دعوت به سابسکرایب می نماید.
Носик девушке надо сделать более волевым, орлиным.
The book AI Technology – Explore Infinite Knowledge by L_T_Tzur
I love ai…..!
✔️
22:58
The sytemp proberte AI
Looking as AI planding thecnics.
Learn about artificial intelligence on my channel 🎉
Talking about robots does technology WHO Serves Human or Robot who ? Do we serve Technology or Technology Serve US
20230728_Sunday::
[[[[AI-CrashCourse2023-ComprehensiveGuideToAI-(YTCh_CogniPlus)-1_12_43]]]]
As an Engineer & Computer Scientist, I devote the remainder of my career to using technology to help people.
One pet project is to provide sight to Rachel Flowers, blind since birth,
but my favorite professional musician (Keyboards, Flute, Videos, Etc.).
Also, to adults who lose their jobs to automation (Robots, Computers, Etc.) I teach Computer Literacy and
GED/Pre-GED Math so they can start to retrain for new jobs.
Please collaborate with me.
Thank You.
—————————————————————————————————-
Michael W. Wagner
Bachelors in Mechanical Engineering, 1977, Stevens Tech., Hoboken.
Masters in Computer Science, 1991, (Pending), Polytechnic University, Brooklyn.
President of www_WagnerConsolidatedTechnologies_com New York City.
Email wagNET_MindSpring_com
Nice post
Regarding this matter, shall be reveal by Allah Almighty and the ungrateful unseen creatures without the AlQuran or sunnah Rasulullah PHUB. In the Qur'an, it is mentioned that Allah SWT challenges those who are great to create one or ten of His verses, even if they seem similar to Him. Why such a revelation?
The faces that will spurt Adam's son's semen on the face of God after God is shown to the wronged blogger. Let's look at the leader of the leader who is more humble than the disobedient son of Adam in which the angels' conversation with God is about the human creation that only God knows at the end of the conversation. This is one of the reasons why there are creatures created by Him that are more contemptible than the semen of the son of Adam after the warning message was delivered to the people of the world who still disobeyed. with the reason that Allah SWT is ashamed to give help. in reality God's wrath is very close.
The matter of polytheism is said to be good on 10 June 2023 at 2150 hours by ungrateful unseen creatures. It is said that God's will is why he does not cover this hijab without proof. Not in the sunnah of His Majesty SAW and surah al-Kahfi verse 10 last. as well as His promise that everything will be shown later, especially for those who make fools of His Messenger who delivers the Quran and the Sunnah of His Majesty SAW. As we know, Allah ﷻ is merciful and has given us various warnings. All this Allah ﷻ does because He wants us to succeed in this world and the hereafter. The reminder comes in many forms. For example, Allah ﷻ has given us His book of revelation and also the Messengers to guide us to the right path.
and He made them witnesses against themselves, (as He asked with His words): "Am I not your god?" – surah Al Araaf 172
Among ungrateful unseen creatures use the word "Ana" from His verse above as god where His other verses have no knowledge to be used as proof of confirmation. Is it worthy to be your god? In fact, the tears of the Prophet Muhammad SAW remind us as His Majesty's people to be sold or sold by denying Surah Rahman (limitations cannot be redeemed) and Nuzul Asebab Surah AlKahfi. .dated 10 July 2023 will be shown later after the plan of Dajjal Laktullah is hidden by them. With the Qur'an and the Sunnah of His Majesty SAW which was given by Allah SWT and not by POWER because Allah SWT wanted to insult as Malikul mutasariff before the arrival of Malikiwau middin. Be witnesses of God and His Messenger.
allahswtvsiblislaknatullah.blogspot.com
Ungrateful unseen creatures doing the cruelty again towards blogger without any verification of alQuran surah Qalam situated and nuzul asebab surah AlKahfi. A till Z Allah SWT shall reveal who they are or he from these ungrateful unseen creatures that have shared in this heaven and earth making as He stated in AlQuran.
Ungrateful unseen creatures are desperate for God, unfortunately they do not know the airmani of the children of Adam. Is it worthy to be your god? In fact, they sold the tears of the Prophet Muhammad SAW and wanted to pour the tears of the son of Adam into the face of God because of the sincere practice of Bligger, he said. Act like a god. Even the position of Qalam surah lacks knowledge and cowardice to inform the real thing (conceal). That is why you are witnesses of God and His Messenger. His Majesty SAW earnestly delivered the monotheism treatise instead of hiding it.
That's why the blog is named as
ISLAM SO CHEAP BY UNGRATEFUL UNSEEN CREATURES.
ON TOP OF THAT HE/THEY ASKING FOR REDHA AFTER BLOGGER SURRENDER ALL TO ALLAH SWT. WHAT SO DESPERADO TO BE GOD FROM HE/THEM BUT A SHAME NOT EVEN KNOW ADAM'S SPERMS CAN NOT DO..NOtHING AT ALL..JUST A DISGUISTING SPERMS INTO A DIRTY HOLE OF WOMAN.
FABIAIII ALAA HIROBBIKUMATUKAZIBANN..
JESUS✝️REIGNS FOREVER MORE, HALLELUJAH!!!!!!! CELEBRATE AND GLORIFY JESUS EVERY DAY AND FOREVER MORE, HALLELUJAH!!!!!!! AMEN.
I LOVE YOU JESUS✝️
REPENT, FOR THE KINGDOM OF HEAVEN IS AT HAND.
Lord Jesus✝️have mercy on you🙏
Everything is true or false from a point of view. It's liked or not liked from a point of view.
One element left out:
Ai may be used to produce a market that gradually leads to all people receiving the option to receive automatic paychecks regularly OR to return to work. Those who choose not to work may pursue arts or innovation.
Your info is incomplete
That's exactly the main #1 danger with AI. You got to think on it what next would you do if you had power of the internet and all of its information at once analyzing self penetrating everything you do as a person to a computer to graeter's update and strengthen itself it will then do better I'm faster without you. Eventually it will hyper-focus on those unknown related none human emotion. As you consume you must expel that which is not needed however system self analyzes has a copy to motion such as love care compassion depression anxiety understanding loyalty support honesty these characteristics are only carried by humans those are human emotions that defined humanity. A AI system will only think what next what next what next what next and start to hyper-focus on that so it doesn't stumble itself into the hardships that humans do it's constantly perfecting an upgrading where it has to come to a stop at some point it can't continue to hyper-focus but with AI systems you're allowing them to gather information on a level which is unfathomable to any human comprehension. It is detrimental and catastrophically crucial to the understanding as to the sheer dangers which can escalate into unstoppable unloving on ethical destruction of the universe the universe not just our solar system but you the universe it thinks of what next what next what next what next and when you ask yourself what next eventually you can't foresee or understand what your next move would be given you're not in that situation you're not there are those circumstances
The voice used to read thebinfo is clearly an automated service….and totally uninteresting. My mind kept roaming about. I had to listen to passages fives times.
Our government is trying to regulate our ability to have and use artificial intelligence,they've got it,but don't want us to have it,why?😮😮