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Artificial Intelligence Investing Gets Ready For Prime Time

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Artificial intelligence is a branch of computer science that aims to create intelligent machines that teach themselves. Much of AI's growth has occurred in the last decade. The upcoming decade, according to billionaire investor Mark Cuban, will be the greatest technological revolution in man's history. More progress has been achieved on artificial intelligence.in Rapid machine-learning improvements have allowed computers to surpass humans at certain feats of ingenuity, doing things that at one time would have been unfathomable.


What is AI in business and why does it matter?

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Nearly 70 years since Alan Turing posed the question "Can machines think?" artificial intelligence (AI) is finally beginning to have an impact on the global economy. Proponents of AI believe that it has the potential to transform the world as we know it. So what is AI in business and what are the main themes? Within the AI industry, there are seven key technology categories: machine learning, data science, conversational platforms, computer vision, AI chips, smart robots and context-aware computing. Machine learning (ML) is an application of AI that gives computer systems the ability to learn and improve from data without being explicitly programmed.


Revisiting the rise of AI: How far has artificial intelligence come since 2010? - AIVAnet

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Facebook was already a giant, time-consuming leviathan; smartphones and the iPad were a daily part of people's lives; The Walking Dead was a big hit on televisions across America; and the most talked-about popular musical artists were the likes of Taylor Swift and Justin Bieber. So pretty much like life as we enter 2020, then? The span of time between 2010 to 2020 brought some of the most amazing technological advances the world has ever seen, so in the spirit of reflection, we've compiled a series of stories that take a look back at the previous decade through a variety of different lenses. One place that things most definitely have moved on in leaps and bounds, however, is on the artificial intelligence front. Over the past decade, A.I. has made some huge advances, both technically and in the public consciousness, that mark this out as one of the most important ten year stretches in the field's history.


Revisiting the rise of A.I.: How far has artificial intelligence come since 2010? Digital Trends

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Facebook was already a giant, time-consuming leviathan; smartphones and the iPad were a daily part of people's lives; The Walking Dead was a big hit on televisions across America; and the most talked-about popular musical artists were the likes of Taylor Swift and Justin Bieber. So pretty much like life as we enter 2020, then? One place that things most definitely have moved on in leaps and bounds, however, is on the artificial intelligence front. Over the past decade, A.I. has made some huge advances, both technically and in the public consciousness, that mark this out as one of the most important ten year stretches in the field's history. What have been the biggest advances?


What is AI? Everything you need to know about Artificial Intelligence

ZDNet

It depends who you ask. Back in the 1950s, the fathers of the field Minsky and McCarthy, described artificial intelligence as any task performed by a program or a machine that, if it had been done by a human, would have to apply intelligence in order to accomplish it. That's obviously a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not. Modern definitions of what it means to create intelligence are slightly more specific. Francois Chollet, AI researcher at Google and creator of the machine-learning software library Keras, has said intelligence is tied to a system's ability to adapt and improvise in a new environment, to generalise its knowledge and apply it to unfamiliar scenarios. "Intelligence is the efficiency with which you acquire new skills at tasks you didn't previously prepare for," he said. "Intelligence is not skill itself, it's not what you can do, it's how well and how efficiently you can learn new things." It's a definition under which modern AI-powered systems, such as virtual assistants, would be characterised as having demonstrated'narrow AI'; the ability to generalise their training when carrying out a limited set of tasks, such as speech recognition or computer vision. Typically, AI systems demonstrate at least some of the following behaviours associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity. This ebook, based on the latest ZDNet / TechRepublic special feature, advises CXOs on how to approach AI and ML initiatives, figure out where the data science team fits in, and what algorithms to buy versus build. AI is ubiquitous today, used to recommend what you should buy next online, to understanding what you say to virtual assistants, such as Amazon's Alexa and Apple's Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud.