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.

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

The next time you’re on a Zoom meeting or asking ChatGPT a question, picture this: The information zips instantaneously ...

A new study has used machine learning to identify the key predictors of physical activity adherence, analyzing data from nearly 12,000 individuals.

Biosystems and Integrative Sciences Institute, Faculdade de Ciências da Universidade de Lisboa, Edifício C8, Campo Grande, 1749-016 Lisboa, Portugal ...

Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

Measured data show that the velocity range of the YR estuary is 0.02-1.4 m/s (Xia et al., 1991). A physical model experiment scales down the natural system to a laboratory scale according to the ...

Just a few weeks after OpenAI said it would adopt rival Anthropic’s standard for connecting AI models to the systems where data resides, Google is following suit. In a post on X on Wednesday ...

They are commonly used to characterize the physical properties ... the assumptions of current SED models." To prove their point, the researchers looked at data collected by the SDSS and WISE.

While numerous learning-based approaches have addressed this challenge, they often lack interpretability and fail to uphold the physical guarantees essential for reliable modeling. Additionally, ...

Rescale, a San Francisco-based startup that makes engineering software used to design race cars and computer chips, raised $115 million on Monday in venture financing.