Rise of Intelligent Machines as Artificial Intelligence Goes Mainstream - Experfy Insights

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Artificial Intelligence has been around since the 1950's. Alan Turing envisioned a machine that could think. He devised a test, aptly named the Turing Test, published in an article titled Computing Machinery and Intelligence. He proposed the notion that a computational machine could answer a series of questions from a panel of judges. The responses would be rational, thoughtful, and indistinguishable to another human.


The History of Artificial Intelligence - Science in the News

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It began with the "heartless" Tin man from the Wizard of Oz and continued with the humanoid robot that impersonated Maria in Metropolis. By the 1950s, we had a generation of scientists, mathematicians, and philosophers with the concept of artificial intelligence (or AI) culturally assimilated in their minds. One such person was Alan Turing, a young British polymath who explored the mathematical possibility of artificial intelligence. Turing suggested that humans use available information as well as reason in order to solve problems and make decisions, so why can't machines do the same thing? This was the logical framework of his 1950 paper, Computing Machinery and Intelligence in which he discussed how to build intelligent machines and how to test their intelligence.


Technological Foundations of Artificial Intelligence

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The most important fields are currently machine learning including deep learning and predictive analytics, natural language processing (NLP), comprising translation, classification & clustering and information extraction. Strong AI would match or exceed human intelligence which is often defined as the ability "to reason, represent knowledge, plan, learn, communicate in natural language and integrate all these skills toward a common goal." Regardless of whether this growth will continue and whether the growth of computational power means that the abilities of AI systems will grow exponentially as well, people have the tendency to underestimate the potential of tomorrow's applications by evaluating them in terms of today's enabling technologies. Current techniques used in legal technology tools are called machine learning (including deep learning and predictive analysis) and natural language processing (NLP).


Technological Foundations of Artificial Intelligence

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Artificial intelligence is on the rise and has already become a buzzword in the legal industry. So far, the discussion around the use of technology in the legal industry focuses on the battle between humans (lawyers) and machines (robots) โ€“ and the possibility of the latter taking over the jobs of lawyers. This short article focuses on the underlying technologies behind the paradigm. Artificial Intelligence (AI) was famously defined by John McCarthy as "the science and engineering of making intelligent machines." AI could also be defined as "cognitive technologies."


The Most Amazing Artificial Intelligence Milestones So Far

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Artificial Intelligence (AI) is the hot topic of the moment in technology, and the driving force behind most of the big technological breakthroughs of recent years. In fact, with all of the breathless hype we hear about it today, it's easy to forget that AI isn't anything all that new. Throughout the last century, it has moved out of the domain of science fiction and into the real world. The theory and the fundamental computer science which makes it possible has been around for decades. Since the dawn of computing in the early 20th century, scientists and engineers have understood that the eventual aim is to build machines capable of thinking and learning in the way that the human brain โ€“ the most sophisticated decision-making system in the known universe โ€“ does.