A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...

Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

Posts from this topic will be added to your daily email digest and your homepage feed. A new bill would hold social media platforms responsible for foreseeable algorithmic harms. A new bill would hold ...

What if you could access innovative AI technology that’s not only faster but also significantly more affordable than current industry leaders? Enter MiniMax-M2, a new open source model that’s shaking ...

Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even ...

Chinese AI startup MiniMax has released a new open-source model. Shanghai-based MiniMax launched MiniMax-M2 on Monday. It aims to shake up the AI market on both price and power. MiniMax says M2 rivals ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Trump approved a deal handing control of TikTok’s U.S. algorithm to Oracle. Oracle will rebuild, retrain, and monitor the algorithm without ByteDance involvement. The new U.S.-based TikTok venture ...

The White House has answered what had been one of the major outstanding questions regarding its pending deal to transfer TikTok’s US operations to a majority American ownership group: Under the ...

U.S. media giants Disney (NYSE:DIS), Warner Bros. Discovery (NASDAQ:WBD), and Universal (NASDAQ:CMCSA) have jointly filed a lawsuit against Chinese artificial intelligence company MiniMax for ...

Abstract: Estimating an unknown deterministic parameter vector with a linear estimator in a noisy linear model is well-known in statistics. This paper studies the open problem in [1], i.e., developing ...