This article is based on findings from a kernel-level GPU trace investigation performed on a real PyTorch issue (#154318) using eBPF uprobes. Trace databases are published in the Ingero open-source ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Part 1 of a Python based simulation that models Faraday’s Law. Learn how electromagnetic induction can be visualized and studied using simple programming techniques. #physics #faradayslaw ...

Here's yet another troubling story about this "golden" era of AI. A hacker has exploited Anthropic's Claude chatbot to carry out attacks against Mexican government agencies, according to a report by ...

AUBURN, Ala. (WTVM) - Alabama Power is preparing for the spring storm season with a new predictive technology designed to reduce power outage times and better position crews before storms hit. The ...

Larger crypto payments to darknet markets were linked to higher stimulant hospitalizations and deaths in Canadian health data. Blockchain transaction data tied to cryptocurrency payments may provide ...

Three books unpack our infatuation with prediction, and what we lose when we outsource this task to machines. To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying ...

A multidisciplinary team led by MUSC Hollings Cancer Center researcher Sophie Paczesny, M.D., Ph.D., developed an AI-based tool that can identify patients at higher risk for serious post-transplant ...

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...

With the aim of transforming the design of plastic materials, AIMPLAS, the Plastics Technology Center, has launched the POLY-ML project, an R&D initiative that applies advanced machine learning ...