What is Artificial inteligence: Definition and 19 Discussions
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.
Olympic games logo
We have the beautiful logo designed for Olympic games. Five rings of different colours each representing the Continent. Significance of friendship between all continents. Countries representing the Olympic games from various continents.
Questions
1 The Origin of this Olympic...
Can we trace all correct words from Jumbled words using machine learning prediction, search algorithms?
https://builtin.com/machine-learning/nlp-machine-learning
Input Dataset : Jumbled words.
Jumbled word example: oolp
Output : pool, loop, polo.
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...
Hello!
I've been following Berkeley's AI course, and I'm a little stuck. In this video , at 1 hour, 11 minutes, and 55 seconds, there's a short simulation of what they claim to be a depth-2 minimax algorithm applied to the Pac-Man scenario with two dots. Pac-Man begins in the corner.
The...
First of all: I am not a programmer, I cannot read code, only have a background in pure mathematics, am looking for a very simplified summary ("for Dummies") of the way Deep Learning and similar AI routines handle sensor data. I looked at a few articles such as...
In the anime series Super Dimension Fortress Macross (Robotech in the US), they fold space to travel vast distances.
In the first episode, the humans plan an emergency fold to jump from Earth to the moon. Supposedly you shouldn't fold space too close to a planet. Their mistake sends them...
I have always been on the skeptical, but not dismissive, end of judgments about achievemnts and rate of progress in this field. However, the following (please read through carefully) just completely blows my mind:
https://en.chessbase.com/post/the-future-is-here-alphazero-learns-chess
A self...
I am very interested in Astrobiology and just came across this 7-year old abstract by Seth Shostak (of SETI):
http://www.sciencedirect.com/science/article/pii/S0094576510002195
There is a lot of emphasis on searching for biological life outside of our solar system, especially with the...
Hello all,
I have recently graduated with a BSc in physics and have been accepted into the MSc program for Applied Physics. However, due to the job outlook for the position I actually want to do I am deeply interested in pursuing my second interest, which is, AI.
Question: My main question is...
I found an article about AI programming languages (https://qubit-labs.com/ai-programming-languages-choose/) and I've got several questions:
1. Are AIML and Lisp still used in programming?
2. Several sources refer to C++ as the fastest programming language? In what way the speed of language is...
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?
Thank you
When I opened up the article https://www.wired.com/2017/01/move-coders-physicists-will-soon-rule-silicon-valley/ I expected to see quantum computing as the next field physicists are to revolutionize. I was surprised to see it was data management and machine learning. I am happy for physicists...
I wanted to study physics when I was younger... took physics in high school and didn't enjoy it at all... kinematics is boring. And now when I look at physics subjects it's not as interesting as it used to be... like optics and waves(yawn) only thing that truly interested is astrophysics which...
My only dream in life is to develop a robot that has common sense and wisdom and pretty much be as smart as a human that can help society solve ISIS, food shortages etc.
So I am choosing Computer Science next year for university.
Though I have heard that doing the degree purely is too dry and...
The setting strongly require rather unimpressive processors and not high enough demand to create multiple processors. On the other hand there would be clearly a big need for computation power. The solution that I can think of is going simple. In case of devices requiring little computation power...
I am a high school student and an avid learner through MOOCs. This spring, there are two MOOCs coming up which caught my interest- one on AI from UC Berkeley(Dan Klein) and the other on Machine Learning from Stanford(Andrew Ng). Though I am inclined towards the Berkeley course, I wanted to get...
It seems to me on the forefront that Artificial Intelligence research is more of the computer scientist's and mathematician's game, but I seem to recall reading a couple of books written by physicists on the subject as well (including Penrose's The Emperor's New Mind).
Is this a popular trend...
...with very limited ability to do any experiments.
Imagine there's a super smart A.I. that has perfect logic. It has no access to the internet or any science books. Let's say it has a robot body with the same basic senses humans have: sight ,sound, touch. It also has legs arms and hands to...