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 ...

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

Nvidia’s CES 2026 keynote unveiled Alpamayo, a reasoning AI for self-driving cars, plus new supercomputers, speech AI, and robotics models.

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

Enabled by the introduction of its Willow quantum chip last year, Google today claims it's conducted breakthrough research that confirms it can create real-world applications for quantum computers.

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 ...

Researchers have unveiled a new quantum material that could make quantum computers much more stable by using magnetism to protect delicate qubits from environmental disturbances. Unlike traditional ...

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 ...

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 ...

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 ...