In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

You’d open a webpage with a few photos scattered among the text and could go grab a coffee before it even finished loading.

Forgetting feels like a failure of attention, but physics treats it as a fundamental process with a measurable price. At the smallest scales, erasing information is not free, it consumes energy and ...

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers. In a study published in Frontiers in Science, scientists from ...

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers from Purdue University and Georgia Institute of Technology.

Large language models (LLMs) have led to significant progress in various NLP tasks, with long-context models becoming more prominent for processing larger inputs. However, the growing size of the ...

Basically, MU will exit its consumer business starting fiscal Q2, or February 2026. The stock was down initially on the news by about 2.6%. Now, in pre-market, it's back to being flat, and that is ...

Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for ...

A new technical paper titled “Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators” was published by researchers at Harvard University, Politecnico di Torino, Intel, LMU ...

This repository contains code relating to the paper "A Combinatorial Branch-and-Bound Algorithm for the Capacitated Facility Location Problem under Strict Customer Preferences" by Christina Büsing, ...

Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher memory bandwidth and reduced energy use. It’s becoming increasingly clear ...

Is your feature request related to a problem? Please describe. This issue is a follow-up to the discussion in PR #13130. The current deadlock prevention logic may lead to severe memory over-commitment ...