Biophysicists Uncover Powerful Symmetries in Living Tissue
After identifying interlocking symmetries in mammalian cells, scientists describe some tissues as liquid crystals. That lays the groundwork for a fluid-dynamic theory of how tissues move.
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After identifying interlocking symmetries in mammalian cells, scientists describe some tissues as liquid crystals. That lays the groundwork for a fluid-dynamic theory of how tissues move.
To best move in their surrounding environment and tackle everyday tasks, robots should be able to perform complex motions, effectively coordinating the movement of individual limbs. Roboticists and computer scientists have thus been trying to develop computational techniques that can artificially replicate the process through which humans plan, execute, and coordinate the movements of different …
Read more “Using hierarchical generative models to enhance the motor control of autonomous robots”
Stanford and Meta researchers develop an AI system called CHOIS that uses natural language and sparse waypoints to generate highly realistic human-object interaction animations with applications in computer graphics, VR, and robotics.Read More
In a dark, unexplored layer of ocean, a hidden cache of fish might play an unexpected role in our climate’s future. It seems like a bad time for a new fishery.
The European Union agreed on terms of the AI Act, a major new set of rules that will govern the building and use of AI and have major implications for Google, OpenAI, and others racing to develop AI systems.
Stability AI debuts StableLM Zephyr 3B, a 3B parameter LLM that is smaller and faster than its earlier 7B models, optimized for Q&A and instruction following with a lower resource footprint.Read More
Artificial intelligence models that pick out patterns in images can often do so better than human eyes—but not always. If a radiologist is using an AI model to help her determine whether a patient’s X-rays show signs of pneumonia, when should she trust the model’s advice and when should she ignore it?
LinkedIn and OpenAI cofounder Reid Hoffman says he’s glad Sam Altman is leading the AI company again. Hoffman and other AI experts discussed the perils and potential of AI at a WIRED event Tuesday.
Google took its next leap in artificial intelligence Wednesday with the launch of project Gemini, an AI model trained to behave in human-like ways that’s likely to intensify the debate about the technology’s potential promise and perils.
Their method, RLIF, is predicated on a simple insight: it’s generally easier to recognize errors than to execute flawless corrections. Read More