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

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 ...

COPENHAGEN, Denmark—Milestone Systems, a provider of data-driven video technology, has released an advanced vision language model (VLM) specializing in traffic understanding and powered by NVIDIA ...

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 ...

Imagine pointing your phone's camera at the world, asking it to identify the dark green plant leaves, and asking if it's poisonous for dogs. Likewise, you're working on a computer, pull up the AI, and ...

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 ...

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, ...

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 ...

Vision language models (VLMs) have made impressive strides over the past year, but can they handle real-world enterprise challenges? All signs point to yes, with one caveat: They still need maturing ...