High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Cancer is increasingly recognized as a dynamic and adaptive network disease characterized by pathway redundancy, tumor ...

Industry 4.0 depends on continuous data exchange between sensors, machines, production lines, and enterprise systems, but much of this data cannot be centralized due to privacy, security, and ...

Harry O'Mara, Luis Enrique Rosas Hernandaz, Sachini Withanage, Hemanta Pradhan and James Mangum share what they have been able to accomplish with the support of the Hughes family in the following ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, ...