In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...

Washington and Lee University, as an institution of higher education and an employer, has myriad obligations for “compliance” with external and internal mandates and standards. There are multiple ...

Per the terms of the agreement, Novavax will receive an upfront payment of $30 million from Pfizer and is eligible to earn up to $500 million in potential development and commercial milestone payments ...

Pfizer is paying $30 million to use Novavax’s adjuvant technology to improve the efficacy of two of the Big Pharma’s vaccine programs. The tech, called Matrix-M, is designed to trigger an immune ...

Medicare enrollees in Texas will soon be required to get prior authorization for certain medical services – and artificial intelligence will play a central role in those decisions. Beginning Jan. 1, a ...

Judge Axes Police Program That Monitored Calif. Residents' Electricity Use The Sacramento Municipal Utility District (SMUD) knowingly disclosed data on customers’ electrical consumption data to police ...

Milan — The European Space Agency has refined its plan for the European Resilience from Space (ERS) program, outlining a €1 billion ($1.15 billion) framework that more directly ties Earth observation, ...

The U.S. Department of Transportation has removed sex and race as criteria for automatic certification in its Disadvantaged Business Enterprise program, according to an interim final rule announced ...

A new Medicare pilot program will require prior authorization for certain medical procedures, using AI to approve or deny coverage A new program from the Centers for Medicare and Medicaid Services ...

Earlier this week, Apple announced an all-new AppleCare One subscription service. AppleCare One lets you get AppleCare coverage on up to three devices for $20 per month. Dan Moren at Six Colors got ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...