How chunked arrays turned a frozen machine into a finished climate model ...

Python’s new JIT compiler might be the biggest speed boost we’ve seen in a while, but it’s not without bumps. Get that news ...

TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...

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

The novel 3D wiring architecture and chip fabrication method enable quantum processing units containing 10,000 qubits to fit in a smaller space than today's 100-qubit chips. When you purchase through ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

AIStorm’s technology pushes AI to the edge of computing experiences by allowing sensors to run neural networks—a feat with applications everywhere from consumer electronics to factory-floor robotics.

Quantum computing promises to disrupt entire industries because it leverages the rules of quantum physics to perform calculations in fundamentally new ways. Unlike traditional computers that process ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

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 ...

China reviewing data centre sector after building boom National cloud service aims to harness surplus computing power Challenges include real-time power transfer and chip integration July 24 (Reuters) ...

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 ...