Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as artificial general intelligence (AGI) while attempts to emulate 'natural' intelligence have been called artificial biological intelligence (ABI). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. A quip in Tesler's Theorem says "AI is whatever hasn't been done yet." For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), and also imperfect-information games like poker, self-driving cars, intelligent routing in content delivery networks, and military simulations.Artificial intelligence was founded as an academic discipline in 1955, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an "AI winter"), followed by new approaches, success and renewed funding. After AlphaGo defeated a professional Go player in 2015, artificial intelligence once again attracted widespread global attention. For most of its history, AI research has been divided into sub-fields that often fail to communicate with each other. These sub-fields are based on technical considerations, such as particular goals (e.g. "robotics" or "machine learning"), the use of particular tools ("logic" or artificial neural networks), or deep philosophical differences. Sub-fields have also been based on social factors (particular institutions or the work of particular researchers).The traditional problems (or goals) of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects. AGI is among the field's long-term goals. Approaches include statistical methods, computational intelligence, and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, artificial neural networks, and methods based on statistics, probability and economics. The AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy, and many other fields.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it". This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence. These issues have been explored by myth, fiction and philosophy since antiquity. Some people also consider AI to be a danger to humanity if it progresses unabated. Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment.In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science, software engineering and operations research.
Is advanced quantum computing the key to achieving the world's first true artificial general intelligence? The astronomical amount of computing power required for an AGI is currently not possible with classical computing.
Hey guys, I want to build a strong and straight plan for my next years of studying and once finish I am able to do something on my own and come up with crazy ideas and actually test them, build some awesome algorithms, all that cool stuff, but I'm kinda stumble so it would be nice if someone...
I know I'm not that bright and I realize that this is a silly question to anyone in the field, but I was curious what the reward is in reinforcement learning algorithms.
I understand the concept behind reinforcement learning, though I am unsure of how you could program a reward into a program...
I would like to start a thread about what AI would *want to do*? I am assigning some intentionality to it and due to that I can only make one observation, that it would want to ensure its own self-preservation.
Following from that, I would like to ask, given this sub-forum, what do you think...
I have been reading a fool.com report on the AI financial BOOM:
After clicking on the "No, I want to learn more." link on the bottom of the tease article and after entering your email, it will give you a video to watch on the topic and some more information by email. Do not hesitate to click...
Do you think AI will lead to the end of humanity, Earth, or help us colonise the Universe and prosper?
Will technology and robots kill us all?
I found the interest in posting this poll after reading some quotes from Stephen Hawking on the topic.
I have read differing arguments about the potential utility or negative issues arising due to AI. There are many concerns about the 'control problem' of AI or how to 'sandbox' AI so it can serve our interests and not let a fast takeoff of AI lead to a situation where AI is the sole power around...
Hey all, I'm a student in university who wants to Double Major in Computer Engineering and Physics or Computer Engineering and Mathematics. Ideally I want to get some time in working on quantum computers and some time in working on advanced AI, so one of the big things I want to do is pick the...
Hey all, I'm a student in university who wants to Double Major in Computer Engineering and Physics or Mathematics. Ideally I want to get some time in working on quantum computers and some time in working on advanced AI, so one of the big things I want to do is pick the community's brain on...
I am a programming novice with minimal knowledge of C, Python and Java that I've taught myself from books and videos. Eventually I'd like to get into AI and machine learning but I have no idea where to start. Thus far, the minimal coding I've learnt has been rather aimless with no specific...
As a AI programmer, among other things, I know the limitations of the technology. So I vote No to this question. For one thing, safe driving demands being able to think ahead and anticipate situations which sensors do not pick up.
I just have a simple question, which probably a psychologist might better answer; but, here it goes...
Why is AI so badly portrayed by people? I'm kind of tired of all the negativity surrounding AI, which seems unwarranted in any way.
Why do people, often well educated and intelligent...
This is a long read, but totally worth it. It's about Elon Musk's new company Neuralink and why we need it. The latter is answered quite thoroughly. http://waitbutwhy.com/2017/04/neuralink.html
What amazed me was the perspective of humans as a whole, seen as a single organism, where a single...
Hi I'm a freshman in college that is interested in AI, and I wanted to do some independent studies on this subject.
Is there some good books I can read to get into AI development, and could you also suggest books for advance developers?
Dear all, I have lately been interested in AI.
One of my thoughts has been as follows:
What if we have two 'neurons' and the world consists of vertical, horizontal and diagonal lines. How would we go about making sure only one neuron is assigned to either vertical or horizontal lines and...