Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Discover the concept of price leadership, its impact on market pricing, and explore the three primary types: barometric, ...

Matt Korda, the associate director of the Nuclear Information Project at the Federation of American Scientists, assisted USA ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

The development of increasingly powerful models is central to the unfolding AI revolution. But this revolution has a second, ...

New observations of a nearby red giant star suggest that a long-standing explanation for how giant stars spread life’s ...

Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...

The UK High Court has ruled in Getty Images v Stability AI, dismissing copyright claims but upholding limited trade mark infringement relating ...

For numerous fundamental processes of life, the formation of certain protein patterns is essential. Protein pattern formation controlled by molecular switches is—like many processes in nature—far ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...