XPeng's Self-Driving AI Learns To Tune Out The Noise

XPeng Inc, a Tesla rival, had their autonomous driving research paper accepted by AAAI 2026, showcasing their progress ...
VentureBeat

OpenVLA is an open-source generalist robotics model

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, ...
Forbes

How Vision Language Models Will Shape The Future Of Self-Driving Cars

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 ...
MediaPost

Google's Vision-Action-Language Robots Rely On Internet Search

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 ...
Semiconductor Engineering

Vision Language Models Come Rushing In

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 ...
Geeky Gadgets

Figure AI HELIX : Vision-Language-Action Model Making Humanoid Robots Smarter

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 ...
Dark Reading

Vision Language Models Keep an Eye on Physical Security

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 ...
Science Daily

Study shows vision-language models can't handle queries with negation words

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 ...