Browsing: learning

Reinforcement learning (RL) is the central training paradigm for advancing large foundation models towards self-improvement. This report introduces the MiMo-V2.6 series, an omni-modal family that pushes the frontier of model intelligence by scaling RL compute. Prior to RL, we conduct mid-training on a broad multimodal corpus to provide ample exploration space, and build a solid…

ACTIVATED clotting time prediction using machine learning achieved strong performance in patients with atrial fibrillation undergoing catheter ablation, with a deep neural network model outperforming five alternative algorithms in a retrospective analysis of 1,144 cases.

DEEP LEARNING models applied toechocardiographydemonstrated high diagnostic accuracy for valvular heart disease in a systematic review and meta-analysis, although investigators cautioned that substantial heterogeneity and methodological limitations reduce confidence in the findings. 

Digital educational tools have transformed how students around the world access information, from online textbooks to video libraries. Yet, for all the remarkable leaps in technology and accessibility, digital learning can often feel like a passive experience. Interactive, engaging, multimodal forms of practice that can encourage students to think for themselves and work through solutions…