AI workloads are traditional systems beyond their limits. Incentivizing distributed energy and data is the answer, says Greg Osuri, CEO of Akash Network.

Soham Parekh, a software engineer, faces accusations of secretly juggling multiple jobs simultaneously, sparking controversy ...

The University Research Computing Facility (URCF) is pleased to announce our Summer 2025 workshop series.

High-throughput computing, celebrating its 40 th anniversary this year, was pioneered by Wisconsin computer scientist Miron Livny. It’s a novel form of distributed computing that automates ...

Hewlett Packard Enterprise (NYSE: HPE) today announced expansions of its HPE Aruba Networking wired and wireless portfolio, along with new HPE Aruba Networki ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems.

SAN MATEO, Calif., Jan. 27, 2025 — Bodo.ai, an open source start-up focused on transformative Python, has released its high performance computing engine for Python under the Apache License. The need ...

The sparse module of the popular SciPy Python library is widely used across applications in scientific computing, data analysis and machine learning. The standard implementation of SciPy is restricted ...

Distributed computing allowed these researchers to efficiently share the computational load between giant mainframes and individual workstations, even if those machines came from different ...

MNE Python is a Python package that supports data preprocessing, source localization, statistical analysis, and estimation of functional connectivity between distributed brain regions. It is built on ...