IEEE

Threshold-Free Event Detection for Nonintrusive Load Monitoring Using Motif Difference Field Images and Convolutional Neural Networks

Abstract: Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system ...
Wired

Inside OpenAI’s Race to Catch Up to Claude Code

Sam Altman sits with his legs pretzeled in an office chair, staring deeply into the ceiling. To be fair, the new OpenAI headquarters—a temple of glass and blond wood in San Francisco’s Mission ...
Digital Trends

AI code wreaked havoc with Amazon outage, and now the company is making tight rules

Amazon has been aggressively pushing its engineers to adopt AI tools. At least 80% of its developers are expected to use AI for coding tasks at least once a week. However, recent events suggest that ...
ascopubs.org

Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models

Leveraging Digital Technology and Artificial Intelligence to Describe the Real-World Belgian Chronic Lymphocytic Leukemia Patient Population: The BE-CLLEAR Study We analyzed 21,364 pathology reports ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.