A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

And because this is such an intricate undertaking, they are turning to artificial intelligence and machine learning to categorize these massive reservoirs of data. While some organizations rely on ...

FS4 Redstone will also feature machine learning-enhanced ray regeneration, which it says is capable of regenerating inaccurate ray traced pixels. Oh, and a new ML model will be added to its Frame ...

Black & Veatch's Chris Ranck explains how machine learning can demystify collection systems to create more efficient designs and more reliable outcomes. Artificial intelligence and machine learning ...

Engineering Laboratory, University of Cambridge, Cambridge CB2 1PZ, U.K. Department of Physics and Astronomy, University College, London WC1E 6BT, U.K. Yusuf Hamied Department of Chemistry, University ...

Abstract: Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and carbon dioxide emissions. If ...

With these extreme specs, the ROG Strix SCAR 16 (2025) is exceptionally well-suited for machine learning tasks. The RTX 5090 GPU’s 24 GB VRAM allows you to train very large neural networks and ...