A new computer-aided detection system could help identify breast cancer earlier. The system uses pattern-recognition algorithms to analyze images collected through digital mammography. It highlights suspicious spots that radiologists may have missed on first examination, prompting them to review the mammograms and determine whether further tests are necessary. According to its manufacturer, iCAD, the system detects up to 72 percent of treatable cancers an average of 15 months earlier than mammography alone.
Courtesy of iCAD
Meta has built a massive new language AI—and it’s giving it away for free
Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3
The gene-edited pig heart given to a dying patient was infected with a pig virus
The first transplant of a genetically-modified pig heart into a human may have ended prematurely because of a well-known—and avoidable—risk.
Saudi Arabia plans to spend $1 billion a year discovering treatments to slow aging
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Yann LeCun has a bold new vision for the future of AI
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
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