
Introducing Robostral Navigate: 8B model achieving 76.6% on R2R-CE with just a single RGB camera. No depth sensors, LiDAR, or multiple cameras needed.
Robostral Navigate is an 8-billion-parameter model designed to enable robots to autonomously navigate complex environments using only a single RGB camera and natural language instructions. The model achieves higher performance on navigation benchmarks than competing systems that use multiple cameras, depth sensors, or LiDAR technology. The technology works by predicting where a robot should move next through pointing to target locations in the camera's field of view, and can generalize across different robot types and adapt to obstacles not seen during training. This capability addresses a significant demand from customers in manufacturing, delivery, logistics, and hospitality sectors.

OpenAI's new family of models will continue to power Microsoft's suite of workplace and productivity apps.

Today, Meta Superintelligence Labs released Muse Spark 1.1. Alongside it, Meta opened a public preview of the Meta Model API. That second part is the structural change. Meta’s models previously reached developers mainly as open weights. Muse Spark 1.1 is closed, hosted, and metered per token. So the question is narrow. Where does it belong in a stack you already run? What is Muse Spark 1.1? Meta describes it as a multimodal reasoning model built for agentic tasks. Reported gains ove

OpenAI's latest family of models promises improvements across a range of areas, including cybersecurity.
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