Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

For years, the Apple TV 4K has occupied a curious space in the Cupertino ecosystem. It was the "hobby" that grew into the ...

In a significant stride toward democratizing advanced AI translation, Google has unveiled TranslateGemma, a new suite of open translation models designed to break down language barriers with ...

VLAM (Vision-Language-Action Mamba) is a novel multimodal architecture that combines vision perception, natural language understanding, and robotic action prediction in a unified framework. Built upon ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

The announcements reflect a calculated shift from discrete chip sales to integrated systems that address enterprise ...

Spirit AI, an embodied AI startup, today announced that its latest VLA model, Spirit v1.5, has ranked first overall on the RoboChallenge benchmark. To drive industry transparency and collaborative ...

With its World Action Model, Geely's full-domain AI technology has entered the 2.0 era, the company said at CES. Li Chuanhai, ...

Abstract: Enabling robots to perform everyday tasks has become increasingly important. Task planning, which decomposes task instructions into executable action sequences, is crucial for equipping ...

Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...