A machine-learning based model improves outcome prediction for people with the rare heart disease transthyretin amyloid cardiomyopathy.

The team at New Mexico State University responsible for bringing Colibrí, a high-performance computer system, to the main ...

First of all, I find that the magnets in the charging puck are barely strong enough to firmly hold the watch in the precise ...

A new research paper takes a look at whether physics-informed machine learning could make FFF process predictions useful ...

How agents acquire abstract concepts from sparse, diverse examples—often without explicit supervision—remains a central ...

Puzzles and games can reveal gaps in models’ smarts. Try your hand at these seven tests to see if you can outwit AI.

LLMs need vastly more data than children to learn language. Understanding why could help us create more efficient models—and ...

By combining conventional process-based and atmospheric inversion modeling with machine learning, scientists home in on a ...

Researchers have developed the first known machine-learning-powered tool that can predict patient risk of hundreds of diseases based solely on patient health records and genetic profiles. The model ...

A technique that allows developers to shrink powerful artificial intelligence models into cheaper, more efficient systems has become the latest battleground in the intensifying U.S.-China race for AI ...

Just two weeks after Thinking Machines released Inkling, its first open source AI language model, the well-funded startup led by former OpenAI chief technology officer Mira Murati today introduced ...

Thinking Machines Lab, the AI startup founded by former OpenAI CTO Mira Murati, released its first in-house AI model Wednesday morning, called Inkling. And unlike the flagship models from OpenAI, ...