The goal of the partnership is to develop synthetic datasets to train vision language action models on various experimental workflows ...

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

The scale of the simulations on Frontier has reached such a point that we are within reach of experiments as far as the range of scales that can be simulated numerically or can be made to happen in ...

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to streamline trial workflows and reduce operational burden, while also ...

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 ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have developed software that reduces the time needed ...

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 ...

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, ...