Computers and Math from Science Daily Feed

Engineers at Northwestern University have taken a striking leap toward merging machines with the human brain by printing artificial neurons that can actually communicate with real ones. These flexible, low-cost devices generate lifelike electrical signals capable of activating living brain cells, a breakthrough demonstrated in mouse brain tissue.

Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic systems. By letting a quantum computer identify hidden patterns in data, the AI becomes more accurate and stable over time. The method outperformed standard models while using far less memory. This could have big implications for fields like climate science, energy, and medicine.

A massive Swedish study shows that AI can spot people at higher risk of melanoma using routine health data. Advanced models significantly outperformed basic methods, identifying high-risk groups with striking accuracy. Some individuals flagged by the system had up to a 33% chance of developing melanoma within five years. This approach could pave the way for smarter, more targeted screening.

In a major breakthrough, scientists have observed electrons in graphene flowing like a nearly frictionless liquid, defying a core law of physics. This exotic quantum state not only reveals new fundamental behavior but could also unlock powerful future technologies.

In crowded environments, more robots don’t always mean faster results—in fact, too many can bring everything to a standstill. Harvard researchers discovered a surprising fix: adding a bit of randomness to how robots move can actually prevent gridlock and boost efficiency. By allowing robots to “wiggle” slightly instead of marching in straight lines, they can slip past each other and keep tasks flowing smoothly.

Quantum systems can secretly “remember” their past—even when they appear not to. Scientists found that whether a system shows memory depends on how you look at it: through its evolving state or its measurable properties. Each perspective uncovers different kinds of memory, meaning a system can seem memoryless and memory-filled at the same time. This discovery could change how researchers design and control quantum technologies.

In the pursuit of powerful and stable quantum computers, researchers at Chalmers University of Technology, Sweden, have developed the theory for an entirely new quantum system – based on the novel concept of ‘giant superatoms’. This breakthrough enables quantum information to be protected, controlled, and distributed in new ways and could be a key step towards building quantum computers at scale.

A new chip design from UC San Diego could make data centers far more energy-efficient by rethinking how power is converted for GPUs. By combining vibrating piezoelectric components with a clever circuit layout, the system overcomes limitations of traditional designs. The prototype achieved impressive efficiency and delivered much more power than previous attempts. Though not ready for widespread use yet, it points to a promising future for high-performance computing.

Quantum computers struggle with a major flaw: their information vanishes unpredictably. Scientists have now created a new method that can measure this loss over 100 times faster than before. By tracking changes in near real time, researchers can finally see what’s going wrong inside these systems. This could be a big step toward making quantum computers stable and practical.

A team of engineers has created a breakthrough memory device that keeps working at temperatures hotter than molten lava, shattering one of electronics’ biggest limits. Built from an unusual stack of ultra-durable materials, the tiny component can store data and perform calculations even at 700°C (1300°F), far beyond what today’s chips can handle. The discovery was partly accidental, but it revealed a powerful new mechanism that prevents heat-induced failure at the atomic level.

Quantum circuits are supposed to gain power as they grow longer, but noise changes the picture. A new study finds that earlier steps in these circuits gradually lose their impact, with only the final layers really mattering. As a result, deep quantum circuits behave more like shallow ones. This limits what current quantum computers can realistically achieve.

AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically instead of relying on brute-force trial and error.

Researchers have created a nanoscale structure that traps infrared light in a layer just 40 nanometers thick—over 1,000 times thinner than a human hair. By using a unique material with exceptional light-bending properties, they can confine and intensify light far beyond previous limits. This setup also dramatically boosts light conversion effects, turning infrared into visible blue light. The advance could pave the way for smaller, faster photonic technologies.

Modern food systems may look stable on the surface, but they are increasingly dependent on digital systems that can quietly become a major point of failure. Today, food must be “recognized” by databases and automated platforms to be transported, sold, or even released, meaning that if systems go down, food can effectively become unusable—even when it’s physically available.

A new breakthrough in wireless technology could dramatically boost internet speeds while cutting energy use—by switching from radio waves to light. Researchers have developed a tiny chip packed with dozens of miniature lasers that can transmit massive amounts of data simultaneously, reaching speeds over 360 gigabits per second in early tests.

Scientists have unveiled a new approach to ultra-secure communication that could make quantum encryption simpler and more efficient than ever before. By harnessing a 19th-century optics phenomenon called the Talbot effect, researchers developed a system that sends information using multiple states of single photons instead of just two, dramatically boosting data capacity. Even more impressive, the setup works with standard components and requires only a single detector, reducing cost and complexity.

DNA robots are emerging as tiny programmable machines that could one day deliver drugs, hunt viruses, and build molecular-scale devices. By borrowing ideas from traditional robotics and combining them with DNA folding techniques, scientists are creating structures that can move and act with precision. These robots can be guided using chemical reactions or external signals like light and magnetic fields.

Perovskite crystals can dramatically and reversibly change shape when hit with light, a behavior not seen in conventional semiconductors. This effect, called photostriction, can be finely tuned depending on the light’s intensity and color. Researchers say these materials act more like adjustable systems than simple switches. The finding could lead to a new generation of light-powered sensors and devices.

Scientists have created a microscopic QR code so tiny it can only be seen with an electron microscope—smaller than most bacteria and now officially a world record. But this isn’t just about size; it’s about durability. By engraving data into ultra-stable ceramic materials, the team has opened the door to storing information that could last for centuries or even millennia without needing power or maintenance.

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and polarization, rather than just on a surface. An AI model then reconstructs the data from light patterns, simplifying the process. This could pave the way for faster, denser, and more efficient data storage systems.