Computers and Math from Science Daily Feed

Researchers have uncovered a new way to generate exotic oscillation states in tiny magnetic structures—using only minimal energy. By exciting magnetic waves, they triggered a delicate motion that produced a rich spectrum of signals never seen before in this system. The finding challenges existing assumptions and could help connect different types of technologies, from conventional electronics to quantum devices. It’s a small effect with potentially huge implications.

Using a smartphone with long nails can be frustrating, forcing people to awkwardly tap with their fingertips instead of their nails. Now, researchers are working on a clear nail polish that could change that by turning fingernails into touchscreen-friendly tools. By experimenting with dozens of formulas, they discovered that combining common compounds like taurine and ethanolamine can help nails carry just enough electrical charge for screens to detect a touch.

Deepfake X-rays created by AI are now convincing enough to fool both doctors and AI models. In tests, radiologists had limited success identifying fake images, especially when they didn’t know they were being shown. This opens the door to risks like fraudulent medical claims and tampered diagnoses. Experts say stronger safeguards and detection tools are critical as the technology advances.

A new neural implant is so small it can rest on a grain of salt, yet it can track and wirelessly transmit brain activity for over a year. It’s powered by laser light that safely passes through tissue and communicates using tiny infrared signals. This ultra-miniature device could transform how scientists study the brain without invasive wiring.

Scientists have turned simple glass into a powerful quantum communication device that could safeguard data against future quantum attacks. The chip combines stability, speed, and versatility—handling both ultra-secure encryption and record-breaking random number generation in one compact system.

Scientists have found a clever way to supercharge ultra-thin semiconductors by reshaping the space beneath them rather than altering the material itself. By placing a single-atom-thick layer of tungsten disulfide over tiny air cavities carved into a crystal, they created miniature “light traps” that dramatically boost brightness and optical effects—up to 20 times stronger emission and 25 times stronger nonlinear signals. These hollow structures, called Mie voids, concentrate light exactly where the material sits, overcoming a major limitation of atomically thin devices.

Scientists at Harvard have built a miniature device that can twist and tune light in real time. By rotating two stacked photonic crystals and adjusting their spacing with a tiny mechanical system, they can control how light’s “handedness” behaves. This allows the chip to distinguish between left- and right-circular polarized light with remarkable precision. The advance could lead to smarter sensors, faster communications, and new quantum technologies.

A routine quantum optics technique just revealed an extraordinary secret: entangled light can carry incredibly complex topological structures. Researchers found these hidden patterns reach up to 48 dimensions, offering a vast new “alphabet” for encoding quantum information. Unlike previous assumptions, this topology can emerge from a single property of light—orbital angular momentum.

AI’s growing energy use sounds alarming, but its global climate impact may be far smaller than expected. Researchers found that while AI consumes huge amounts of electricity, it barely moves the needle on overall emissions. The real impact is more localized, especially around data centers. Meanwhile, AI could become a powerful tool for building greener technologies.

A new tomato-picking robot is learning to think before it acts. Instead of simply identifying ripe fruit, it predicts how easy each tomato will be to harvest and adjusts its approach accordingly. This smarter strategy boosted success rates to 81%, with the robot even switching angles when needed. The breakthrough could pave the way for farms where robots and humans work side by side.

Researchers have pushed quantum chip design into a new era by simulating every physical detail before fabrication. Using a supercomputer with nearly 7,000 GPUs, they modeled how signals travel and interact inside an ultra-tiny chip. Unlike earlier “black box” approaches, this method captures real materials, layouts, and qubit behavior. The result is a powerful new way to spot problems early and build better quantum hardware faster.

A new study put ChatGPT to the test by asking it to judge whether hundreds of scientific hypotheses were true or false—and the results were far from reassuring. While the AI got it right about 80% of the time on the surface, its performance dropped significantly when accounting for random guessing, revealing only modest reasoning ability. Even more concerning, it frequently contradicted itself when asked the exact same question multiple times, sometimes flipping answers back and forth.

Artificial intelligence is often portrayed as a tool that replaces human work, but new research from Swansea University suggests a far more exciting role: creative collaborator. In a large study with more than 800 participants designing virtual cars, researchers found that AI-generated design galleries sparked deeper engagement, longer exploration, and better results.

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system uses tensor network mathematics and machine-learning models to solve the problem directly. The approach can compute key thermodynamic properties hundreds of times faster while preserving accuracy. Researchers say this could accelerate discoveries in materials science, physics, and chemistry.

As AI systems began acing traditional tests, researchers realized those benchmarks were no longer tough enough. In response, nearly 1,000 experts created Humanity’s Last Exam, a massive 2,500-question challenge covering highly specialized topics across many fields. The exam was engineered so that any question solvable by current AI models was removed. Early results show even the most advanced systems still struggle — revealing a surprisingly large gap between AI performance and true expert-level knowledge.

Researchers at Cornell University have developed a powerful imaging technique that reveals atomic scale defects inside computer chips for the first time. Using an advanced electron microscopy method, the team mapped the exact positions of atoms inside tiny transistor structures and uncovered small imperfections nicknamed “mouse bites.” These defects form during the complex manufacturing process and can disrupt how electrons flow through a chip’s channels, which are only about 15 to 18 atoms wide.

Researchers have built the smallest OLED pixel ever made—just 300 nanometers across—without sacrificing brightness. By redesigning the pixel with a nano-sized optical antenna and a protective insulation layer, they prevented the short circuits that normally plague devices at this scale. The result is a stable, ultra-tiny light source that could allow full HD displays to fit on an area the size of a grain of sand.

Researchers at Kobe University have developed an AI system that can detect acromegaly, a rare hormone disorder, by analyzing photos of the back of the hand and a clenched fist. The disease often develops slowly and can take years to diagnose, even though untreated cases may shorten life expectancy.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory physicists created a unifying mathematical framework that shows many AI techniques rely on the same core idea: compress data while preserving what’s most predictive. Their “control knob” approach helps researchers design better algorithms, use less data, and avoid wasted computing power. The team believes it could pave the way for more accurate, efficient, and environmentally friendly AI.

Scientists at the University of Tokyo have captured something never seen before: a frame-by-frame view of how electron spins flip inside an antiferromagnet, a material once thought to be magnetically “invisible.” By firing ultrafast electrical pulses into a thin layer of manganese–tin and tracking the response with precisely timed flashes of light, the team uncovered two distinct switching mechanisms. One relies on heat generated by strong currents, while the other flips spins directly with minimal heating — a far more efficient process.