The biggest innovation over the last year is that inference-time scaling techniques that have been pioneered in natural language models have now come to visual language models,” said Eric Heim, chief ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

The AI model type capturing the most attention across robotics and autonomous vehicles right now is the vision-language-action model, or VLA. At embedded AI conferences this year, particularly the ...

Abstract: The integration of visual and textual data in Vision- Language Pre-training (VLP) models is crucial forenhancing vision-language understanding. However, the adversarial robustness of these ...

Introduction: Echocardiography is essential for cardiac assessment, yet interpretation requires substantial expertise and suffers from inter-observer variability. Current AI approaches often rely on ...

Pairing VL-PRMs trained with abstract reasoning problems results in strong generalization and reasoning performance improvements when used with strong vision-language models in test-time scaling ...

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

I've often wondered if the way in which individuals view and treat their own and other dogs is related to how they view animal-human relationships in general. Based on discussions with many people, I ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...