Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Brooks Consulting's Chuck Brooks, a GovCon Expert, explains how AI and quantum technologies are becoming mission-critical ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

A new study reveals how advanced carbon based nanofluids could significantly improve heat transfer in technologies ranging from microelectronics to ...

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...

NTN announced that it has integrated machine learning technology into its automated calculation system used for designing 3rd‑generation hub bearings, marking the first use of this approach in the ...

The PALLAS simulation framework is a Geant4-based toolkit for modeling plasma-accelerated particle beams. It integrates traditional Monte Carlo methods with machine learning-based ONNX beam generation ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Researchers in Taiwan demonstrate that installing solar panels above clam ponds can simultaneously support aquaculture and renewable energy under increasing climate stress. Using real-world farm data, ...

Understanding the LeRobot Simulation Ecosystem So, you’re curious about what makes LeRobot tick, right? It’s not just ...