If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Anthropic claims Chinese AI labs ran large-scale Claude distillation attacks to steal data and bypass safeguards.

Founded in South Korea, FuriosaAI develops AI inference chips designed to deliver high performance while reducing power ...

Overview The best AI courses on Coursera align with specific career goals and skill levels.Generative AI and Deep Learning skills are increasingly critical acro ...

The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...

Sonepat introduces specialized tracks in AI, Cloud Computing, and IoT to prepare Computer Science students for Industry 4.0 ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.

Early on, Li was focused on cementing Baidu’s enduring position as China’s top search engine. However, he’d long been intrigued by artificial intelligence (AI) after taking undergraduate classes at ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...