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

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

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 ...

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 ...

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 ...

GPT-3.5 Codex Spark offers 128,000-token context and ChatGPT Pro-only access, giving developers quicker real-time coding responses at lower cost.

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.

Pietro Rossi had a problem. An insurance company needed a model that could price bonds based on the likelihood of changes in credit ratings. The standard, off-the-shelf models are based on probability ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

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 ...