IEEE

A Comprehensive Review of Machine Learning Approaches for Semiconductor Device Modeling and Simulation

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...
IEEE

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models

Abstract: Vision-language models (VLMs) have achieved impressive progress in natural image reasoning, yet their potential in medical imaging remains underexplored. Medical vision-language tasks demand ...
GitHub

Jian-Lang/awesome-modality-missing-learning

Deep Multimodal Learning with Missing Modality: A Survey TMLR 2026 Paper N/A Multimodal Learning Under Imperfect Data Conditions: A Survey arxiv 2026 Paper N/A Multimodal fusion on low-quality data: A ...
Frontiers

ActionX: pre-training action experts with reinforcement learning for vision-language action models

Vision-Language Action (VLA) models have enabled language-driven robotic manipulation by integrating language instructions, visual perception, and action generation. However, existing VLA approaches ...
Futurism

Sam Altman’s Coworkers Say He Can Barely Code and Misunderstands Basic Machine Learning Concepts

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...