Enter generative AI, which the pharma industry is adopting at a terrific rate. By ingesting and analysing vast biological ...

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.

A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...

Users will be able to upload their health data to ChatGPT in order to get what OpenAI has described as a more personalized ...

OpenAI continues its push into healthcare with the launch of ChatGPT Health, a new feature that connects its artificial ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...

As CEOs trip over themselves to invest in artificial intelligence, there’s a massive and growing elephant in the room: that any models trained on web data from after the advent of ChatGPT in 2022 are ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

The right look: Model measurements vary for each type of modeling (of which there are more than 16), but generally speaking, you must have good proportions and a pleasant and/or interesting appearance ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...