Artificial Intelligence is probably the most complex and astounding creations of humanity yet. And that is disregarding the fact that the field remains largely unexplored, which means that every amazing AI application that we see today represents merely the tip of the AI iceberg
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⭐ What is Artificial Intelligence (AI)
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
⭐ Understanding the Types of AI Classification
Since AI research purports to make machines emulate human-like functioning, the degree to which an AI system can replicate human capabilities is used as the criterion for determining the types of AI. Thus, depending on how a machine compares to humans in terms of versatility and performance, AI can be classified under one, among the multiple types of AI. Under such a system, an AI that can perform more human-like functions with equivalent levels of proficiency will be considered as a more evolved type of AI, while an AI that has limited functionality and performance would be considered a simpler and less evolved type.
Based on this criterion, there are two ways in which AI is generally classified. One type is based on classifying AI and AI-enabled machines based on their likeness to the human mind, and their ability to “think” and perhaps even “feel” like humans. According to this system of classification, there are four types of AI or AI-based systems: reactive machines, limited memory machines, theory of mind, and self-aware AI.
Based on this criterion, there are two ways in which AI is generally classified. One type is based on classifying AI and AI-enabled machines based on their likeness to the human mind, and their ability to “think” and perhaps even “feel” like humans. According to this system of classification, there are four types of AI or AI-based systems: reactive machines, limited memory machines, theory of mind, and self-aware AI.
⭐ Could Artificial Intelligence really wipe out Humanity?
Many fear that Artificial Intelligence will be the end of humankind – here’s the truth according to experts.
By now, most people around the world use some sort of AI-utilizing device that is integrated into their daily lives.
They use Siri to check the weather, or ask Alexa to turn off their smart lights – these are all forms of AI that many people don’t realize.
However, despite the widespread (and relatively harmless) use of this technology in nearly every facet of our lives, some people still seem to believe that machines could one day wipe out humanity.
This apocalyptic ideal has been perpetuated through various texts and movies over the years.
Even staple figures in the field of science such as Stephen Hawking and Elon Musk have been vocal about technology’s threat against humanity.
In 2020, Musk told the New York Times that AI would grow vastly smarter than humans and would overtake the human race by 2025, adding that things would get “unstable or weird.”
Despite Musk’s prediction, most experts in the field say humanity has nothing to worry about when it comes to AI – at least, not yet.
They use Siri to check the weather, or ask Alexa to turn off their smart lights – these are all forms of AI that many people don’t realize.
However, despite the widespread (and relatively harmless) use of this technology in nearly every facet of our lives, some people still seem to believe that machines could one day wipe out humanity.
This apocalyptic ideal has been perpetuated through various texts and movies over the years.
Even staple figures in the field of science such as Stephen Hawking and Elon Musk have been vocal about technology’s threat against humanity.
In 2020, Musk told the New York Times that AI would grow vastly smarter than humans and would overtake the human race by 2025, adding that things would get “unstable or weird.”
Despite Musk’s prediction, most experts in the field say humanity has nothing to worry about when it comes to AI – at least, not yet.
⭐ Most AI is “narrow”
The fear of AI taking over has developed from the idea that machines will somehow gain consciousness and turn on their creators.
In order for AI to achieve this, it would not only need to possess human-like intelligence, but it would also need to be able to predict the future or plan ahead.
As it stands, AI is not capable of doing either.
When prompted with the question “Is AI an existential threat to humanity,” Matthew O’Brien, a robotics engineer from the Georgia Institute of Technology wrote “The long-sought goal of a ‘general AI’ is not on the horizon. We simply do not know how to make a general adaptable intelligence, and it’s unclear how much more progress is needed to get to that point”.
The facts of the matter are that machines generally operate how they’re programmed to and we are a long way from developing the ASI (artificial superintelligence) needed for this “takeover” to even be feasible.
At present, most of the AI technology utilized by machines is considered “narrow” or “weak,” meaning it can only apply its knowledge towards one or a few tasks.
“Machine learning and AI systems are a long way from cracking the hard problem of consciousness and being able to generate their own goals contrary to their programming,” George Montanez, a data scientist at Microsoft, wrote under the same Metafact thread.
Current AI technology is not capable of human-like intelligence or planning ahead.
In order for AI to achieve this, it would not only need to possess human-like intelligence, but it would also need to be able to predict the future or plan ahead.
As it stands, AI is not capable of doing either.
When prompted with the question “Is AI an existential threat to humanity,” Matthew O’Brien, a robotics engineer from the Georgia Institute of Technology wrote “The long-sought goal of a ‘general AI’ is not on the horizon. We simply do not know how to make a general adaptable intelligence, and it’s unclear how much more progress is needed to get to that point”.
The facts of the matter are that machines generally operate how they’re programmed to and we are a long way from developing the ASI (artificial superintelligence) needed for this “takeover” to even be feasible.
At present, most of the AI technology utilized by machines is considered “narrow” or “weak,” meaning it can only apply its knowledge towards one or a few tasks.
“Machine learning and AI systems are a long way from cracking the hard problem of consciousness and being able to generate their own goals contrary to their programming,” George Montanez, a data scientist at Microsoft, wrote under the same Metafact thread.
Current AI technology is not capable of human-like intelligence or planning ahead.
⭐ AI could help us to better understand ourselves
Some experts even go as far as to say that not only is AI not a threat to mankind, but could help us to better understand ourselves.
“Thanks to AI and robotics today we are in the position to ‘simulate’ in robots and colonies of robots the theories related with consciousness, emotions, intelligence, ethics and compare them on a scientific base,” said Antonio Chella, a professor in Robotics at the University of Palermo.
“So, we can use AI and robotics to understand ourselves better. In summary, I think AI is not a threat but an opportunity to become better humans by better knowing ourselves,” he added. People worry that AI can be used for overoptimization, weaponization, and ecological collapse.
“Thanks to AI and robotics today we are in the position to ‘simulate’ in robots and colonies of robots the theories related with consciousness, emotions, intelligence, ethics and compare them on a scientific base,” said Antonio Chella, a professor in Robotics at the University of Palermo.
“So, we can use AI and robotics to understand ourselves better. In summary, I think AI is not a threat but an opportunity to become better humans by better knowing ourselves,” he added. People worry that AI can be used for overoptimization, weaponization, and ecological collapse.
⭐ AI does have risks
It is clear that AI (and any technology) could pose a risk to humans.
Some of these risks include overoptimization, weaponization, and ecological collapse, according to Ben Nye, the Director of Learning Sciences at the University of Southern California, Institute for Creative Technologies (USC-ICT).
“If the AI is explicitly designed to kill or destabilize nations…accidental or test releases of a weaponized, viral AI could easily be one of the next significant Manhattan Project scenarios,” he stated on Metafact.
“We are already seeing smarter virus-based attacks by state-sponsored actors, which is most assuredly how this starts,” Nye added.
Some of these risks include overoptimization, weaponization, and ecological collapse, according to Ben Nye, the Director of Learning Sciences at the University of Southern California, Institute for Creative Technologies (USC-ICT).
“If the AI is explicitly designed to kill or destabilize nations…accidental or test releases of a weaponized, viral AI could easily be one of the next significant Manhattan Project scenarios,” he stated on Metafact.
“We are already seeing smarter virus-based attacks by state-sponsored actors, which is most assuredly how this starts,” Nye added.
⭐ Robotics in the Era of Artificial Intelligence
Present day robots also use a whole range of sensors including cameras, Sonars, LiDARs, Radars and Lasers to assess and measure their environment as well as gyroscopes and accelerometers to measure their own motion.
Robots are typically defined as physical agents that perform a variety of tasks by manipulating the physical world. The term is said to have been derived from the Czech word ‘robota’ meaning ‘forced labour’ and was used first in K. Capek’s play, R.U.R. ‘Rossum’s Universal Robots’, which appeared in 1920.
Robots are equipped with effectors like legs, wheels, arms & grippers. The single purpose of effectors is to exert physical force on the environment. Present day robots also use a whole range of sensors including cameras, Sonars, LiDARs, Radars and Lasers to assess and measure their environment as well as gyroscopes and accelerometers to measure their own motion.
Mostly, today’s robots fall into one of three primary categories. These are Manipulators, Mobile Robots and Mobile Manipulators. Let’s take a closer look at each of these categories.
Robots are equipped with effectors like legs, wheels, arms & grippers. The single purpose of effectors is to exert physical force on the environment. Present day robots also use a whole range of sensors including cameras, Sonars, LiDARs, Radars and Lasers to assess and measure their environment as well as gyroscopes and accelerometers to measure their own motion.
Mostly, today’s robots fall into one of three primary categories. These are Manipulators, Mobile Robots and Mobile Manipulators. Let’s take a closer look at each of these categories.
⭐ Manipulators
Manipulators: Often referred to as robot arms, manipulators are physically anchored to their workplace. They can be found in a variety of places including factory assembly lines and space stations. Manipulator motion usually involves a chain of controllable joints, enabling them to place their effectors in any position within the workplace. Most industrial robots are of this category. They can be found in hospitals at times, assisting surgeons and in cars.
⭐ Mobile Robots
Mobile robots have the ability to move about using wheels or robotic legs. Unmanned Ground Vehicles (UGVs) can drive autonomously on streets, highways and also off-roads. Unmanned Air Vehicles (UAVs aka drones) are commonly used for surveillance, military operations, crop spraying and even deliveries. Autonomous Underwater Vehicles (AUVs) are used in deep-sea explorations and underwater searches. Mobile robots can also be found delivering food in hospitals, moving containers in loading docks, delivering packages to customers and vacuuming floors in offices and homes.
⭐ Mobile Manipulators
Mobile Manipulators: Sometimes referred to as Humanoid Robots, these typically mimic the human torso. Mobile manipulators can apply their effectors over a much larger area than typical manipulators, which are anchored. However their task is made more difficult since they lack the rigidity that anchors provide.
⭐ Real Robots
Real Robots must cope with environments that are partially observable, stochastic, dynamic and continuous. Practical robotic systems need to build in prior knowledge about the robot, its physical environment and the tasks that the robot may be called upon to perform so that the robot can learn quickly and perform safely.
Robotics today brings together several concepts from AI and Machine Learning like probabilistic state estimation, perception, unsupervised learning and reinforcement learning, among others. The success of robots depends quite a bit on the design of sensors and effectors that are appropriate for the task for which the robot is being deployed.
Robotics today brings together several concepts from AI and Machine Learning like probabilistic state estimation, perception, unsupervised learning and reinforcement learning, among others. The success of robots depends quite a bit on the design of sensors and effectors that are appropriate for the task for which the robot is being deployed.
⭐ Info Chat GPT
ChatGPT (Chat Generative Pre-trained Transformer) is a chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI’s GPT-3 family of large language models and has been fine-tuned using both supervised and reinforcement learning techniques.
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⭐ Info Technology
Technology is important in our lives because it helps to deal with every day's dynamic things. Technology offers various tools to boost development and to exchange information. Both these things are the objective of IT to make tasks easier and to solve many problems.
⭐ Latest Technology
The latest Technology Information about the world's best trends, hardware, apps, and much more. From top companies like Google and Apple to tiny startups.
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⭐ Future
The American public anticipates that the coming half-century will be a period of profound scientific change. This is among the main findings of a new national survey by the Pew Research Center and Smithsonian magazine, which asked Americans about a wide range of potential scientific developments—from near-term advances like robotics and bioengineering, to more “futuristic” possibilities like teleportation or space colonization.
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