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 ...

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 ...

This Python project scans Ethereum wallets, checks their balances, and transfers funds from wallets that meet a specified balance threshold to another wallet. It uses multithreading to scan and ...

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

Abstract: Emerging high-performance computing (HPC) applications with diverse workload characteristics impose greater demands on parallel file systems (PFSs). PFSs also require more efficient software ...

Abstract: The rapid advancement of edge artificial intelligence can be attributed to the widespread use of edge consumer devices and the enhancement in system-on-chip capabilities. As modern edge ...