Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...

The collaborative infrastructure innovation delivers nearly half a million Trainium2 chips in record time, with Anthropic scaling to more than one million chips by the end of 2025. Project Rainier, ...

A survey estimated 83 snow leopards in the state, with the true number likely between 67 and 103, up from 51 individuals in ...

A little-known algorithmic process called “differential privacy” helps keep census data anonymous. Conservatives want it gone ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

Shortly after 3 p.m. PT (2200 GMT), Amazon said, "all AWS services returned to normal operations. Some services such as AWS ...

It was the largest internet disruption since last year's CrowdStrike malfunction hobbled technology systems in hospitals, ...

Amazon cloud service returned to normal operations on Monday afternoon, the company said, after an internet outage that ...

Abstract: This lagtime intelligence framework is a premise for real-time data processing in IoT settings. It solves the dilemma of latency, bandwidth consumption, and data privacy via hierarchical ...

MIAMI, Oct. 17, 2025 /PRNewswire/ -- Fourier Health, a leading clinician-in-the-loop AI platform that streamlines and consolidates patient clinical data into use-case specific summaries to reduce ...