Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

AI tool enables developers to build and deploy robust, resource-intensive machine learning models on edge devices ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

The gradient boost model achieves the best performance for predicting no-shows and late cancellations in primary care practices, according to a study published in the July/August issue of the Annals ...