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Diffbot’s A.I. Engine Draws Global Map of Machine Learning Expertise

Xconomy

A year ago, the leading Chinese Internet company Tencent Holdings pegged the global number of artificial intelligence researchers and professionals at 300,000 or less—just as the unmet demand for such experts was pushing salary offers to as much as $1 million.

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Joining AI Drug Discovery Race, Erasca Adds $22M For Cancer Work

Xconomy

That plan folds the startup into the ranks of biopharma firms that are trying to use artificial intelligence, machine learning, and other computing tools to discover drugs—specifically, in Erasca’s case, precision. Read more » Reprints | Share: UNDERWRITERS AND PARTNERS.

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Ex-Google CEO: New MIT College Could Help Shrink A.I. Talent Gap

Xconomy

Eric Schmidt believes we’re entering an era where artificial intelligence will underpin most facets of human life. researchers and professionals differ , ranging from fewer than 100,000 people to several hundred thousand. But we don’t yet have enough people with the right skills to build that future.

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Toyota And Others Enabling Self-Driving Cars to Talk to Each Other

Xconomy

That was one of the issues raised Wednesday during a panel discussion at a conference on artificial intelligence and machine learning held at the MIT. But if driverless cars become a reality, those vehicles will also need to be able to reliably communicate with each other, using wireless communications technologies.

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Insitro Lands Three-Year Deal With Gilead to Find New NASH Drugs

Xconomy

Drug discovery startup Insitro burst onto the scene last year with ambitions of using machine learning techniques to find new therapies. Insitro announced Tuesday that Gilead (NASDAQ: GILD ) will pay the South San Francisco-based startup $15 million to kick off a three-year research collaboration.

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Boston A.I. Leaders Call for Focus on Diversity, Global Mindset in 2019

Xconomy

It was an eventful year for the artificial intelligence industry. The sector saw more big venture capital deals and acquisitions , while researchers kept plugging away on technology advances. Meanwhile, A.I. developers continued to grapple with issues around transparency, trust, and ethics.

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A.I. in 2018: IBM Exec on Advances in Training, Trust, Transparency

Xconomy

Today’s artificial intelligence technologies have demonstrated they’re capable of handling specific tasks, such as identifying pictures of cats or spotting cancer in CT scans. Researchers are hopeful the industry’s next breakthroughs will enable A.I.