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

“We’re building the bridge between seeing and doing,” said Mohammad Musa, CEO and Co-Founder of Deepen AI. “Our goal is to make Physical AI practical at scale. That means giving teams the data quality ...

Google DeepMind on Thursday unveiled two new artificial intelligence (AI) models that think before taking action. At least one former Google executive believes everything will tie into internet search ...

Foundation models have made great advances in robotics, enabling the creation of vision-language-action (VLA) models that generalize to objects, scenes, and tasks beyond their training data. However, ...

Safely achieving end-to-end autonomous driving is the cornerstone of Level 4 autonomy and the primary reason it hasn’t been widely adopted. The main difference between Level 3 and Level 4 is the ...

Cosmos Policy is a new robot control policy that post-trains the Cosmos Predict-2 world foundation model for manipulation ...

Just when you thought the pace of change of AI models couldn’t get any faster, it accelerates yet again. In the popular news media, the introduction of DeepSeek in January 2025 created a moment that ...

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 ...

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 ...