AI & RoboticsNews

MIT CSAIL’s RFocus boosts wireless signal strength by a factor of nearly 10

Improving a device’s signal might be as simple as increasing the number of antennas within the said device, according to new research. A team at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) claim they’ve managed to bolster connectivity with what they call RFocus, a software-controlled external  “smart surface” that uses an array of more than 3,000 wireless…
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AI & RoboticsNews

AI Weekly: AI joins the fight against diseases like coronavirus

In light of the rising death toll from the coronavirus, which this week spread to the U.S. and was declared a health emergency by the World Health Organization (WHO), it’s worth looking at AI’s role in curbing the spread of other diseases. Algorithms have not only informed superior intervention and prevention strategies, they’ve helped optimize the allocation of resources to fight the spread…
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AI & RoboticsNews

PETA wants to replace Punxsutawney Phil with an animatronic AI

When we imagine the future of artificial intelligence, we tend to think of the technology making most human jobs obsolete. But if PETA has its way, an AI could also take over for the world’s most famous groundhog, Punxsutawney Phil. In a letter signed by PETA founder and president Ingrid Newkirk, the organization calls on the Punxsutawney Groundhog Club, the group that takes care of the…
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AI & RoboticsNews

Amazon details AI that answers questions more reliably

Might natural language models improve in their ability to answer questions on the fly? That’s what a team of Amazon researchers set out to answer in a study scheduled to be presented at the 2020 Association for the Advancement of Artificial Intelligence in New York. They…
AI & RoboticsNews

Google researchers release audit framework to close AI accountability gap

Researchers associated with Google and the Partnership on AI have created a framework to help companies and their engineering teams audit AI systems before deploying them. The framework, intended to add a layer of quality assurance to businesses launching AI, translates into practice values often espoused in AI ethics principles and tackles an accountability gap authors say exists in corporate AI…
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