Online learning company Chegg is laying off almost a quarter of its workforce amid worries that AI is doing people’s homework for them.
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Alibaba wants to shave down its neural networks to make AI easier to deploy.
The US is trying to box China out of AI development. The problem is the Asian nation is also the source of invaluable AI talent.
While this is a recognized problem in face-reading AI models, Nvidia’s tech relies on synthetic data to achieve balance, which comes with caveats.
The future of traditional search engines got a rude awakening last week as an Apple executive predicted their eventual demise.
Microsoft wants its language models to be a little more adaptable.
The company’s latest filing adds another solution to several aiming to tackle the ever-present issue of bias at the source.
A recent IBM patent shows that it may be working on Grammarly for software developers.
Small and energy-efficient models have garnered growing attention in recent months.
Disney wants to use AI to help you recall fond memories.
On Monday, the Financial Times said it struck a deal with OpenAI to allow the generative AI darling to license the FT’s content.
However, these kinds of modifications come at the expense of high-level customization and accuracy.
Microsoft hasn’t signed off on OpenAI’s dramatic reversal of its onetime plan to become a for-profit venture.
Big Tech is hoping AI-powered smartphones will be the first of many great returns on its eye-popping AI investments.
This year’s Nvidia GTC event comes after the bombshell DeepSeek moment, the acceleration of a global trade war, and a broader market rout.
Along with mitigating hallucinations, this tech creates an audit trail for more transparency between the model and its users.