See an AMD laptop with a Ryzen AI chip and 128GB memory run GPT OSS at 40 tokens a second, for fast offline work and tighter ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

The most simply-named product names can sometimes have the most surprising of origins. Behind two of the world’s most ...

China’s AI leaders say the US still leads on compute and chips, despite rapid progress and open-source releases, making a ...

A new humanoid robot went from concept to live factory work in just seven months — and it’s now performing real industrial ...

PyPRS is a Python software package specifically developed to solve large-scale ranking and selection (R&S) problems in parallel computing environments. The underlying parallel computing framework is ...

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...

The breakthrough addresses a longstanding challenge in quantum computing: maintaining the integrity of quantum information over time. Quantum bits are extremely sensitive to heat, vibration and ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

Georgia Tech Regents’ Professor Srinivas Aluru has won the Charles Babbage Award for 2025. The Indian American scientist was recognized for pioneering research contributions that intersect parallel ...