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 ...

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

Scientists say they've developed a breakthrough 3D wiring solution that allows a 100-fold increase in the number of quantum bits (qubits) a quantum computing chip can support. The new architecture, ...

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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 ...

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 ...

In large cities across the country, parallel parking in impossibly tight spaces is seen almost as a rite of passage. On Saturday, those skills were put to the test, as dozens of people competed in a ...

When Eventual founders Sammy Sidhu and Jay Chia were working as software engineers at Lyft’s autonomous vehicle program, they witnessed a brewing data infrastructure problem — one that would only ...