Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
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 ...
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, ...
Milestone announced the traffic-focused VLM, powered by NVIDIA Cosmos Reason, supports automated video summarization in ...
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, ...
Cohere For AI, AI startup Cohere’s nonprofit research lab, this week released a multimodal “open” AI model, Aya Vision, the lab claimed is best-in-class. Aya Vision can perform tasks like writing ...
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 ...
The rise in Deep Research features and other AI-powered analysis has given rise to more models and services looking to simplify that process and read more of the documents businesses actually use.
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 ...
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