Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data.
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Some companies are working to remedy the issue. Some AI chatbots rely on flawed research from retracted scientific papers to answer questions, according to recent studies. The findings, confirmed by ...
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
Liquid AI, a startup pursuing alternatives to the popular "transformer"-based AI models that have come to define the generative AI era, is announcing not one, not two, but a whole family of six ...
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Transparency in AI companies falls to new low
A new analysis finds that AI companies now average just 40 out of 100 on transparency, marking a significant decline from ...
A new study from MIT's NANDA initiative has found that 95% of generative AI pilots fail to deliver measurable ROI for companies – a failure rate rooted not in flawed models but in poor integration and ...
Robots have long been the backbone of manufacturing—welding car frames, assembling electronics and executing repetitive tasks with machine-like precision. But outside the structured walls of factories ...
How much do foundation models matter? It might seem like a silly question, but it’s come up a lot in my conversations with AI startups, which are increasingly comfortable with businesses that used to ...
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