IEEE

Learning Sparse Diagnostic Cues: An Information Bottleneck Multi-Instance Framework for Multimodal Depression Detection

Abstract: Automated multimodal depression detection from clinical interviews is challenged by the complex nature of real world dialogue. Specifically, models trained with only session-level ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

10 Powerful Open-Source AI Tools for Local Hosting and Faster AI Queries

Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...
IEEE

Knowledge-Driven Multiple Instance Learning With Hierarchical Cluster-Incorporated Aware Filtering for Larynx Pathological Grading

Abstract: Pathological grading of laryngeal squamous cell carcinoma (LSCC) based on whole-slide image (WSI) is crucial for the diagnosis, treatment and prognosis. According to pathologists’ knowledge, ...

Google Tested Its AI Tutor In Real Classrooms. It Worked

Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...