Via Multitask Learning.
Ahmed A. Elhag, T. Konstantin Rusch, Francesco Di Giovanni, Michael Bronstein University of Oxford & MIT https://arxiv.org/abs/2410.
Can _equivariance_ be learned by unconstrained models?
Via Multitask Learning.
Ahmed A. Elhag, T. Konstantin Rusch, Francesco Di Giovanni, Michael Bronstein University of Oxford & MIT https://arxiv.org/abs/2410.
Can _equivariance_ be learned by unconstrained models?
Newly published research from Colorado State University answers fundamental questions about cellular connectivity in the brain that could be useful in the development of treatments for neurological diseases like autism, epilepsy or schizophrenia.
Absorption of light initiates many natural and artificial chemical processes, for example, photosynthesis in plants, human vision, or even 3D printing. Until now, it seemed impossible to control a light-driven chemical reaction at the atomic scale, where only a specific part of one molecule is addressed.
Imagine a tiny, soft robot that could change the way medicine is delivered to targeted areas in the body.
A team of scientists at NTU has developed grain-sized soft robots that can be controlled using magnetic fields for targeted drug delivery, paving the way to possible improved therapies in future.
Virtual worlds, ChatGPT, and AI seem to be all the rage in 2024, with all sorts of developments shaking up not just the technology space, but having wider implications for medicine, politics, and even the judicial system. Now, researchers from Swiss startup FinalSpark have combined a virtual world with tiny human mini brains and built a two-way con…
Professor Michael Levin explores the revolutionary concept of diverse intelligence, demonstrating how cognitive capabilities extend far beyond traditional brain-based intelligence. Drawing from his groundbreaking research, he explains how even simple biological systems like gene regulatory networks exhibit learning, memory, and problem-solving abilities. Levin introduces key concepts like “cognitive light cones” — the scope of goals a system can pursue — and shows how these ideas are transforming our approach to cancer treatment and biological engineering.
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Mathematician and Computer Scientist Stephen Wolfram wants to do no less than revolutionising physics. He wants to do it with computer code that gives rise to all the fundamental laws of nature that we know and like — and maybe more. Unfortunately, Einstein’s theories of general relativity inherently clash with how computers work. And yet, he and his team might have found a clever way around this problem.
Continue reading “This Theory of Everything Could Actually Work: Wolfram’s Hypergraphs” »
Pace of growth helps maintain renewable energy when weather conditions interfere with wind and solar.
1GITEX Global 2024 and IROS 2024 became true gateways to the future of technology, bringing together the most advanced innovations in artificial intelligence, robotics, and transportation under one roof. At the forefront of GITEX was the unique Nissan Hyperforce concept, an electric vehicle with an incredible 1,360 horsepower, capable of accelerating from 0 to 100 km/h in just 2 seconds. This electric supercar not only stunned with its speed but also with its futuristic design, reminiscent of the iconic Batmobile. With its advanced driving modes, R and GT, drivers can switch between a sporty and comfortable driving experience.
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Soon humanity may reach out to the galaxy and spread ourselves to every world in it, but in the billions and billions of years to come on those billions and billions of worlds, humanity shall surely diverge down many roads and posthuman pathways.
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