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 ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Keysight SOS is a powerful data management platform that facilitates AI-powered chip design workflows and AI accelerator ...

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 ...

Precision Simulation's FEATool Multiphysics v. 1.18 provides one-click export functionality and automatic conversion of ...

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

The fresh capital will scale deployment of Acteris, an agentic AI platform that transforms industrial robots into intelligent, self-learning teammates Trener Robotics (formerly T-Robotics), developer ...

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, ...

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.

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