Kibbutz Shefayim, Israel-based deep learning startup Zebra Medical Vision announced that it has received FDA 510 (k) clearance for an algorithm that helps physicians quantify a patient’s coronary ...

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.

The researchers created a computer vision algorithm capable of identifying 1,000 types of objects in images with 70 percent accuracy. The previous best low-power algorithms achieved only around 54 ...

SHEFAYIM, Israel--(BUSINESS WIRE)--Fourth paragraph, first sentence of release should read: Zebra-Med’s Mammography algorithm aims to change that dynamic, by providing a state of the art ...

Meta Platforms Inc.’s artificial intelligence research team today announced an updated version of its powerful data2vec algorithm that enables extremely efficient self-supervised learning for ...