Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...

Neel Somani on Optimization: The Language of Modern AI Systems

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...
Slator

Bridging Human and Machine: How L&D Leaders are Redefining AI in eLearning

AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...
IEEE

Semi-Supervised Contrastive Learning for Breast Cancer Diagnosis in Ultrasound Imaging: a Unified Framework with Auxiliary System

Abstract: To address the domain gap between natural and medical images, this study proposes a semi-supervised contrastive learning framework based on SimCLR for model pre-training. By fine-tuning the ...
IEEE

Multilingual-Prompt-Guided Directional Feature Learning for Weakly Supervised Video Anomaly Detection

Abstract: Weakly supervised video anomaly detection has gained attention for its effective performance and cost-efficient annotation, using video-level labels to distinguish between normal and ...