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Category: robotics/AI – Page 69

New agentic AI platform accelerates advanced optics design

Stanford engineers debuted a new framework introducing computational tools and self-reflective AI assistants, potentially advancing fields like optical computing and astronomy.

Hyper-realistic holograms, next-generation sensors for autonomous robots, and slim augmented reality glasses are among the applications of metasurfaces, emerging photonic devices constructed from nanoscale building blocks.

Now, Stanford engineers have developed an AI framework that rapidly accelerates metasurface design, with potential widespread technological applications. The framework, called MetaChat, introduces new computational tools and self-reflective AI assistants, enabling rapid solving of optics-related problems. The findings were reported recently in the journal Science Advances.

Genie 3: Creating dynamic worlds that you can navigate in real-time

Genie 3 is a world builder powered by generative AI. It appears that it could in principle be built into a game engine.

One thing I’d like to do is have procedural generation as the backbone, and have generative AI modify things further that regular proc-gen textures just are not able to accomplish.

Introducing Genie 3, a general purpose world model that can generate an unprecedented diversity of interactive environments. Given a text prompt, Genie 3 can generate dynamic worlds that you can navigate in real time at 24 frames per second, retaining consistency for a few minutes at a resolution of 720p.

Watch the Google DeepMind episode on Genie 3 with Hannah Fry here: • Genie 3: An infinite world model | Shlomi…

Our team has been pioneering research in simulated environments for over a decade, from training agents to master real-time strategy games to developing simulated environments for open-ended learning and robotics. This work motivated our development of world models, which are AI systems that can use their understanding of the world to simulate aspects of it, enabling agents to predict both how an environment will evolve and how their actions will affect it.

Continue reading “Genie 3: Creating dynamic worlds that you can navigate in real-time” | >

Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks

The study presents Predictive Alignment, a local learning rule for recurrent neural networks that aligns internal network predictions with feedback. This biologically inspired method tames chaos and enables robust learning of complex patterns.

Quilter’s AI just designed an 843‑part Linux computer that booted on the first try. Hardware will never be the same

🤖AI system designed a fully functional Linux computer in one week.

Quilter’s AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here’s how they did it.

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