Cheaper AI models may be trained on outputs of older systems instead of fresh human data.

Over the last twenty years, data storage hasn’t changed much. Applications dictated how systems were built, and we responded ...

Over the last few months, many AI boosters have been increasingly interested in generative video models and their seeming ...

Bristol Myers Squibb , Takeda Pharmaceuticals and Astex Pharmaceuticals are coming together to share proprietary data for ...

One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

Stanford PhDs Fan-Yun Sun and Sharon Lee cofounded AI research company Moonlake AI to help people "vibe code virtual worlds." ...

Arbor made waves when it announced the addition of Red Gerard, Jared Elston, and Danny Kass to their pro team last year.

Moving beyond static code prediction, the model learns an internal world model of computational environments for more ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...

According to data from Pierce County’s annual one-night survey of those living unhoused, 16% of those surveyed were under the ...

I never spend more than $100 on a phone. Here’s how I still get everything I need from a phone, at a fraction of the cost.

Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.