Scientists unveil breakthrough pixel that could put holograms on your smartphone

A team at the University of St Andrews has unlocked a major step toward true holographic displays by combining OLEDs with holographic metasurfaces. Unlike traditional laser-based holograms, this compact and affordable method could transform smart devices, entertainment, and even virtual reality. The breakthrough allows entire images to be generated from a single OLED pixel, removing long-standing barriers and pointing to a future of lightweight, miniaturized holographic technology.

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Caltech’s massive 6,100-qubit array brings the quantum future closer

Caltech scientists have built a record-breaking array of 6,100 neutral-atom qubits, a critical step toward powerful error-corrected quantum computers. The qubits maintained long-lasting superposition and exceptional accuracy, even while being moved within the array. This balance of scale and stability points toward the next milestone: linking qubits through entanglement to unlock true quantum computation.

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AI-powered smart bandage heals wounds 25% faster

A new wearable device, a-Heal, combines AI, imaging, and bioelectronics to speed up wound recovery. It continuously monitors wounds, diagnoses healing stages, and applies personalized treatments like medicine or electric fields. Preclinical tests showed healing about 25% faster than standard care, highlighting potential for chronic wound therapy.

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AI breakthrough finds life-saving insights in everyday bloodwork

AI-powered analysis of routine blood tests can reveal hidden patterns that predict recovery and survival after spinal cord injuries. This breakthrough could make life-saving predictions affordable and accessible in hospitals worldwide.

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Cosmic simulations that once needed supercomputers now run on a laptop

Astronomers have long relied on supercomputers to simulate the immense structure of the Universe, but a new tool called Effort.jl is changing that. By mimicking the behavior of complex cosmological models, this emulator delivers results with the same accuracy — and sometimes even finer detail — in just minutes on a standard laptop. The breakthrough combines neural networks with clever use of physical knowledge, cutting computation time dramatically while preserving reliability.

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Lasers just made atoms dance, unlocking the future of electronics

Scientists at Michigan State University have discovered how to use ultrafast lasers to wiggle atoms in exotic materials, temporarily altering their electronic behavior. By combining cutting-edge microscopes with quantum simulations, they created a nanoscale switch that could revolutionize smartphones, laptops, and even future quantum computers.

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Machine-learning analysis of X-ray data picks out key catalytic properties

Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the scientists can identify which properties correspond to the best catalytic performance, and then use that information to guide the design of more efficient catalysts.

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Pushy robots learn the fundamentals of object manipulation

Researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. Using the dataset — the largest and most diverse of its kind — researchers can train robots to 'learn' pushing dynamics that are fundamental to many complex object-manipulation tasks, including reorienting and inspecting objects, and uncluttering scenes.

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Browser tool aims to help researchers ID malicious websites, code

Researchers have developed an open-source tool that allows users to track and record the behavior of JavaScript programs without alerting the websites that run those programs. The tool, called VisibleV8, runs in the Chrome browser and is designed to detect malicious programs that are capable of evading existing malware detection systems.

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