Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

NEW YORK, NY, UNITED STATES, January 30, 2026 /EINPresswire.com/ -- The surgical robotics industry is undergoing a ...

A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.

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

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

Abstract: Silicon data allow designers to enhance the chip performance by leveraging machine learning techniques. By gaining a deeper understanding of the distributions of interested features within a ...

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

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...

In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform ...

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 ...