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 ...

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 ...

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...

Abstract: Accurate prediction of Estimated Time of Arrival is critical for food delivery platforms like DoorDash, Uber Eats, and Meituan, which face challenges in dynamic operating conditions. This ...

Abstract: Pre-silicon modeling tools for characterizing power, area, and timing (PAT) have enabled numerous architectural studies, but traditional analytical and table-based models begin to exhibit ...

Methods: This prognostic modeling study used 2017‐2022 OneFlorida+ EHR data to develop and validate ML algorithms predicting 3-month incident OUD risk. We included 182,083 adults (≥18 y) without ...