The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

PCWorld reports that Claude AI users are adopting “caveman” prompting techniques to reduce token consumption by stripping ...

Among the many steps along the road to high-performance AI, one of the most important was taken in 2007 by Fei-Fei Li, then an assistant professor in Princeton’s computer science department. Using ...

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

Discover how thoughtful design can revolutionize AI systems. Learn more about the future of AI at MLDS 2026. Read now!

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

In its "Tuscan Wheels" demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed ...

NVIDIA shows neural rendering cuts VRAM use, reduces game storage, and improves performance without changing visual quality ...

Neural Texture Compression (NTC) could be a game-changer on par with DLSS if it can reduce the VRAM requirement for textures ...

MIT researchers tracked activity across a worm’s entire nervous system, revealing how odors trigger intentional navigation.

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...