AI & RoboticsNews

Berbix raises $9 million to verify IDs with AI

Berbix, a startup developing an “automated” identity verification platform, today closed a $9 million funding round. A spokesperson told VentureBeat the new capital is being earmarked for team and customer growth. According to McKinsey, the “ID-verification-as-a-service” market will grow from $10 billion in 2017 to between $16 billion and $20 billion in 2022. This boom is driven in part by…
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AI & RoboticsNews

Vector Institute forms team to help commercialize AI research

The Vector Institute, an independent nonprofit dedicated to advancing AI, today established a team to commercialize its industrial and health care research. This group will create tools, frameworks, and model templates while helping organizations operationalize models within their markets. Moreover, Vector says it will be responsible for procuring computing infrastructure to scale the…
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AI & RoboticsNews

Synthego raises $100 million for AI-driven gene editing

Synthego, which is developing a machine learning-based approach to engineering genomes, today closed a $100 million funding round. The startup says the funding will be put toward expanding the capabilities of its platforms designed to produce reagents and cells supporting…
AI & RoboticsNews

Michael Kanaan: The U.S. needs an AI ‘Sputnik moment’ to compete with China and Russia

In his book, “T-Minus AI,” Michael Kanaan calls attention to the need for the U.S. to wake up to AI in the same way that China and Russia have — as a matter of national importance amid global power shifts. In 1957, Russia launched the Sputnik satellite into orbit. Kanaan writes that it was both a technological and a military feat. As Sputnik orbited Earth, suddenly the U.S. was confronted by…
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AI & RoboticsNews

Researchers examine uncertainty in medical AI papers going back a decade

In the big data domain, researchers need to ensure that conclusions are consistently verifiable. But that can be particularly challenging in medicine because physicians themselves aren’t always sure about disease diagnoses and treatment plans. To investigate how machine learning research has historically handled medical uncertainties, scientists at the University of Texas at Dallas; the…
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