Machine Learning – Page 12

AI, Artificial Intelligence, Breakthrough Thinking, Ideas, Latest News, Machine Learning, New Discoveries, new technology, Science & Technology News

Self-Learning AI: New Neuro-Inspired Computer Trains Itself

October 20, 2016

A COMPUTING ROAD LESS TRAVELED

A team of researchers from Belgium think that they are close to extending the anticipated end of Moore’s Law, and they didn’t do it with a supercomputer. Using an artificial intelligence (AI) algorithm called reservoir computing, combined with another algorithm called backpropagation, the team developed a neuro-inspired analog computer that can train itself and improve at whatever task it’s performing.

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AI, Analysis, Artificial Intelligence, Big Problems, Google, Machine Learning, New Viewpoints, Science & Technology News

The three biggest problems facing AI today

October 13, 2016

Speaking to attendees at a deep learning conference in London last month, there was one particularly noteworthy recurring theme: humility, or at least, the need for it.

While companies like Google are confidently pronouncing that we live in an “AI-first age,” with machine learning breaking new ground in areas like speech and image recognition, those at the front lines of AI research are keen to point out that there’s still a lot of work to be done. Just because we have digital assistants that sound like the talking computers in movies doesn’t mean we’re much closer to creating true artificial intelligence.

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Big Data, Breakthrough Thinking, cutting edge, Inventions, Machine Learning, Medicine, New Inventions, new technology, quantum computing, Science & Technology News

Quantum Computing is coming and bringing massive disruption with it

October 11, 2016

Next year, we may see the launch of the first true quantum computers.

The implications will be staggering.

This post aims to answer three questions:

What are quantum computers?
What are their implications?
Who’s working on them?

There’s a lot to unpack here, so hang tight, and let’s jump in!

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AI, Artificial Intelligence, Business, cutting edge, Machine Learning, New Viewpoints, Science & Technology News

Google’s New Translator Works Almost as Well as Humans

September 28, 2016

A jump in the fluency of Google’s language software will help efforts to make chatbots less lame.

Google’s latest advance in machine learning could make the world a little smaller.

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AI, Analysis, Artificial Intelligence, Business, Ideas, Machine Learning, New Viewpoints, Science & Technology News

Machine Learning: What Companies Get Wrong

September 28, 2016

People want it—but don’t understand it.

If you had to pick a tech industry buzzword for 2016, “machine learning” would be a good choice. Every other company, it seems, is packing the phrase into their pitches, and it’s having an effect.

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AI, Artificial Intelligence, Business, Employment, Machine Learning, New Discoveries, New Inventions, new technology, Science & Technology News

Report: AI will eliminate 6 percent of jobs in five years

September 14, 2016

Within five years robots and so-called intelligent agents will eliminate many positions in customer service, trucking and taxi services, amounting to 6 percent of jobs, according to a Forrester report.

“By 2021, a disruptive tidal wave will begin,” said Brian Hopkins, VP at Forrester, in the report. “Solutions powered by AI/cognitive technology will displace jobs, with the biggest impact felt in transportation, logistics, customer service, and consumer services.”

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AI, Artificial Intelligence, Breakthrough Thinking, cutting edge, Machine Learning, New Discoveries, New Inventions, new technology, Science & Technology News

The next trick for machine learning is generating videos from photos

September 14, 2016

Show a human any photograph and they’ll able to predict what happens next with pretty decent accuracy. The woman riding her bike will keep on moving. The dog will catch the frisbee. The man is going to have a pratfall. And so on. It’s such a basic skill that we don’t consider the vast amount of information that is used to make these predictions — concerning gravity, inertia, the nature of pratfalls, etc. — and teaching computers to do the same is proving to be a key challenge in machine vision.

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