Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Researchers at MIT CSAIL and Project CETI believe that they have unlocked a kind of sperm whale alphabet with the aid of machine learning technologies. Results from the study, which were published ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Researchers at MIT have developed a machine-learning model called COMET that can design highly effective lipid nanoparticles (LNPs) for delivering RNA to targeted cells. This AI tool analyzes complex ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.