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

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...

If the big bottleneck in your Rust development workflow is compile time, there are at least five ways you can fix it.

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 ...

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

A GPU-accelerated N-body gravitational simulation demonstrating 13,000× speedup over CPU baseline through CUDA parallel computing. This project showcases GPU programming techniques using Python with ...

Venture capital firm Sequoia is joining Singapore's GIC and U.S. investor Coatue in ‌a funding round for Anthropic which aims to raise $25 billion at a $350 billion valuation, the Financial Times ...

Abstract: The Support Vector Machine (SVM) is a popular classification algorithm and is known for its generalization properties in machine learning. In this paper, we propose parallel implementation ...

Parallel parking tends to strike fear in new drivers. It's one of the common mistakes that cause people to fail their driving test. But once you know the steps, it's a skill you can rely on every day, ...

On May 7, 1981, influential physicist Richard Feynman gave a keynote speech at Caltech. Feynman opened his talk by politely rejecting the very notion of a keynote speech, instead saying that he had ...