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

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

With generative AI tools becoming commonplace in schools and universities, educators and policymakers are increasingly ...

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

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...

Kriti Goyal used her master's degree and strategic networking to move to the US and succeed in AI at a major Big Tech company ...

Sebi has indentified that AI/ML is being used for various purposes. For instance, stock exchanges are leveraging AI for ...

Apple backs a project to add Nvidia CUDA support to its MLX framework, enabling a cost-effective 'develop on Mac, deploy on ...

Dubai has launched the world’s first icon-based classification system to represent the level of human–machine collaboration ...

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

MIT researchers have developed a new theoretical framework for studying the mechanisms of treatment interactions. Their ...

Key Takeaways California Judicial Council adopts first statewide rule and standard on generative AI, effective September 2025 Rule mandates strict policies to protect confidentiality, prevent bias, ...