A multi-university study has found that large language models from different companies often produce strikingly similar responses, even to creative prompts, due to design processes that favor safe, ...

From DIY Arduino bots to AI-driven planning systems, robotics is evolving fast—and you can be part of it. New frameworks now connect natural language directly to robot actions, while benchmarks like ...

The Philippines' Technology News Blog Website, Sharing Specs and Beyond to Help Build a Tech-Informed, Tech-Empowered Nation.

Pairing VL-PRMs trained with abstract reasoning problems results in strong generalization and reasoning performance improvements when used with strong vision-language ...

Abstract: Vision-language-action models (VLAs) have shown potential in leveraging pretrained vision-language models and diverse robot demonstrations for learning generalizable sensorimotor control.

The Efficacy of Rule-Based Versus Large Language Model-Based Chatbots in Alleviating Symptoms of Depression and Anxiety: Systematic Review and Meta-Analysis J Med Internet Res 2025;27:e78186 ...

Vision-Language Action (VLA) models have enabled language-driven robotic manipulation by integrating language instructions, visual perception, and action generation. However, existing VLA approaches ...

Abstract: Foundation models have achieved remarkable breakthroughs across various domains, with the widely use of masked image modeling (MIM) and self-supervised learning (SSL). However, these models ...

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 Maverick, its previous mid-size flagship.

ThinkJEPA is a dual-path embodied prediction framework in which a vision-language model acts as a cortex-like reasoner for high-level semantics and long-horizon intent, while a JEPA branch acts as a ...