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

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 ...

Deepseek VL-2 is a sophisticated vision-language model designed to address complex multimodal tasks with remarkable efficiency and precision. Built on a new mixture of experts (MoE) architecture, this ...

Large language models, or LLMs, are the AI engines behind Google’s Gemini, ChatGPT, Anthropic’s Claude, and the rest. But they have a sibling: VLMs, or vision language models. At the most basic level, ...

For a translator to turn one language (say, English) into another (say, Greek), she has to be able to understand both languages and what common meanings they point to, because English is not very ...

Making machines respond in ways similar to humans has been a relentless goal of AI researchers. To enable machines to perceive and think, researchers propose a series of related tasks, such as face ...

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 ...

Hugging Face Inc. today open-sourced SmolVLM-256M, a new vision language model with the lowest parameter count in its category. The algorithm’s small footprint allows it to run on devices such as ...