B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Meta’s Llama 3.2 has been developed to redefined how large language models (LLMs) interact with visual data. By introducing a groundbreaking architecture that seamlessly integrates image understanding ...

Crucially, these tests are generated by custom code and don’t rely on pre-existing images or tests that could be found on the public Internet, thereby “minimiz[ing] the chance that VLMs can solve by ...

MIT researchers discovered that vision-language models often fail to understand negation, ignoring words like “not” or “without.” This flaw can flip diagnoses or decisions, with models sometimes ...

As I highlighted in my last article, two decades after the DARPA Grand Challenge, the autonomous vehicle (AV) industry is still waiting for breakthroughs—particularly in addressing the “long tail ...

Figure AI has unveiled HELIX, a pioneering Vision-Language-Action (VLA) model that integrates vision, language comprehension, and action execution into a single neural network. This innovation allows ...

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels, closed-source systems like ChatGPT and Claude are currently setting the pace, ...