Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...

In an era where artificial intelligence, autonomous vehicles, and high-performance computing push the boundaries of semiconductor technology, the thermal management of 2.5D and 3D integrated circuits ...

Native SPICE elements that accurately replicate an op amp’s real-world behavior were nonexistent. A transconductance sourcing current from the rails and transitioning to a resistive state as the ...

Simulations Plus and the University of Connecticut Receive New FDA Grant to Expand Mechanistic Modeling Approaches for Long-Acting Injectables Funded collaboration will leverage current FDA ...

How best to run AI inference models is a current topic of much debate as a wide breadth of systems companies look to add AI to a variety of systems, spurring both hardware innovation and the need to ...

Correcting misinformation after it has gone viral is a common way of informing the public that what they've encountered may be inaccurate, lack context, be unproven, or be demonstrably false. But ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Vassili Kitsios is a senior research scientist at CSIRO, a co-chair of the Machine Learning for Climate and Weather Working Group of the Australian Climate Community Earth System Simulator National ...

LONDON--(BUSINESS WIRE)--Earnix, the global provider of intelligent, composable, SaaS solutions for insurers and banks, today announced Model Accelerator at Earnix E x celerate 2023. Model Accelerator ...