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Categories: Computer Science: Artificial Intelligence (AI), Physics: Quantum Physics

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Scientists have created a non-invasive movement tracking method called GlowTrack that uses fluorescent dye markers to train artificial intelligence to capture movement, from a single mouse digit to the human hand. GlowTrack has applications spanning biology, robotics, medicine, and beyond.

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Negative pressure is a rare and challenging-to-detect phenomenon in physics. Using liquid-filled optical fibers and sound waves, researchers have now discovered a new method to measure it. In collaboration with the Leibniz Institute of Photonic Technologies in

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New physics-based self-learning machines could replace the current artificial neural networks and save energy.

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Newly developed ultra-low radiation cables reduce background noise for neutrino and dark matter detectors.

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A team has developed a shape-changing smart speaker, which uses self-deploying microphones to divide rooms into speech zones and track the positions of individual speakers.

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Scientists have shown that their steerable lung robot can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.

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Researchers combined soft microactuators with high-energy-density chemical fuel to create an insect-scale quadrupedal robot that is powered by combustion and can outrace, outlift, outflex and outleap its electric-driven competitors.

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A new study shows that human instruction is still necessary to detect and compensate for unintended, and sometimes negative, changes in neurosurgeon behavior after virtual reality AI training. This finding has implications for other fields of training.

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A team of international researchers has uncovered further clues in the quest for insights into the nature of dark matter. The key to understanding this mystery could lie with the dark photon, a theoretical massive particle that may serve as a portal between the dark sector of particles and regular matter.

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A research team has developed groundbreaking 'soft valve' technology -- an all-in-one solution that integrates sensors and control valves while maintaining complete softness.

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The era of artificial-intelligence chatbots that seem to understand and use language the way we humans do has begun. Under the hood, these chatbots use large language models, a particular kind of neural network. But a new study shows that large language models remain vulnerable to mistaking nonsense for natural language. To a team of researchers, it's a flaw that might point toward ways to improve chatbot performance and help reveal how humans process language.

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Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.

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Physicists begin to shed light on one of the most important questions regarding quantum spin liquids, and they do so by introducing a new phase of matter.

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Many of today's artificial intelligence systems loosely mimic the human brain. In a new paper, researchers suggest that another branch of biology -- ecology -- could inspire a whole new generation of AI to be more powerful, resilient, and socially responsible. The paper argues for a synergy between AI and ecology that could both strengthen AI and help to solve complex global challenges, such as disease outbreaks, loss of biodiversity, and climate change impacts.

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Using laser light, researchers have developed the most robust method currently known to control individual qubits made of the chemical element barium. The ability to reliably control a qubit is an important achievement for realizing future functional quantum computers.

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Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a 'brainless' soft robot that can navigate more complex and dynamic environments.

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A new artificial intelligence tool can help people with Parkinson's disease remotely assess the severity of their symptoms within minutes. While expert neurologists performed slightly better than the AI model, the AI model outperformed the primary care physicians with UPDRS certification.

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Researchers have used machine learning to perform error correction for quantum computers -- a crucial step for making these devices practical -- using an autonomous correction system that despite being approximate, can efficiently determine how best to make the necessary corrections.

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Scientists demonstrated a conceptual breakthrough by fabricating atomically precise quantum antidots using self-assembled single vacancies in a two-dimensional transition metal dichalcogenide.

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Researchers have mathematically derived the fundamental limit of heat current flowing into a quantum system comprising numerous quantum mechanical particles in relation to the particle count. Further, they established a clearer understanding of how the heat current rises with increasing particle count, shedding light on the performance constraints of potential future quantum thermal devices.