Computers and Math from Science Daily Feed

Physicists have unveiled a new way to simulate a mysterious form of dark matter that can collide with itself but not with normal matter. This self-interacting dark matter may trigger a dramatic collapse inside dark matter halos, heating and densifying their cores in surprising ways. Until now, this crucial middle ground of behavior was nearly impossible to model accurately. The new code makes these simulations faster, more precise, and accessible enough to run on a laptop.

Engineers have created a device that generates incredibly tiny, earthquake-like vibrations on a microchip—and it could transform future electronics. Using a new kind of “phonon laser,” the team can produce ultra-fast surface waves that already play a hidden role in smartphones, GPS systems, and wireless tech. Unlike today’s bulky setups, this single-chip device could deliver far higher performance using less power, opening the door to smaller, faster, and more efficient phones and wireless devices.

Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ so dramatically around the world. By analyzing cancer data and health system information from 185 countries, the AI model highlights which factors, such as access to radiotherapy, universal health coverage, and economic strength, are most closely linked to better survival in each nation.

Humans pay enormous attention to lips during conversation, and robots have struggled badly to keep up. A new robot developed at Columbia Engineering learned realistic lip movements by watching its own reflection and studying human videos online. This allowed it to speak and sing with synchronized facial motion, without being explicitly programmed. Researchers believe this breakthrough could help robots finally cross the uncanny valley.

A new OLED design can stretch dramatically while staying bright, solving a problem that has long limited flexible displays. The breakthrough comes from pairing a highly efficient light-emitting material with tough, transparent MXene-based electrodes. Tests showed the display kept most of its brightness even after repeated stretching. The technology could power future wearable screens and on-skin health sensors.

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations reveal that foam bubbles are always shifting, even while the foam keeps its overall shape. Remarkably, this restless motion follows the same math used to train artificial intelligence. The finding hints that learning-like behavior may be a fundamental principle shared by materials, machines, and living cells.

A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but also recognizes its own uncertainty, making it a powerful support tool for clinicians.

Scientists have unveiled a new way to capture ultra-sharp optical images without lenses or painstaking alignment. The approach uses multiple sensors to collect raw light patterns independently, then synchronizes them later using computation. This sidesteps long-standing physical limits that have held optical imaging back for decades. The result is wide-field, sub-micron resolution from distances that were previously impossible.

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns across the brain, heart, and breathing. It successfully forecast risks for conditions like cancer, dementia, and heart disease. The results suggest sleep contains early health warnings doctors have largely overlooked.

Researchers have built a new platform that produces ultrashort UV-C laser pulses and detects them at room temperature using atom-thin materials. The light flashes last just femtoseconds and can be used to send encoded messages through open space. The system relies on efficient laser generation and highly responsive sensors that scale well for manufacturing. Together, these advances could accelerate the development of next-generation photonic technologies.

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links geometry, symmetry, and problem-solving. The technique works in both ordinary flat space and curved hyperbolic worlds used in theoretical physics. Its blend of beauty and precision could influence everything from engineering to digital design.

Scientists are learning to engineer light in rich, multidimensional ways that dramatically increase how much information a single photon can carry. This leap could make quantum communication more secure, quantum computers more efficient, and sensors far more sensitive. Recent advances have turned what was once an experimental curiosity into compact, chip-based technologies with real-world potential. Researchers say the field is hitting a turning point where impact may soon follow discovery.

Researchers have created microscopic robots so small they’re barely visible, yet smart enough to sense, decide, and move completely on their own. Powered by light and equipped with tiny computers, the robots swim by manipulating electric fields rather than using moving parts. They can detect temperature changes, follow programmed paths, and even work together in groups. The breakthrough marks the first truly autonomous robots at this microscopic scale.

A new chip-based quantum memory uses nanoprinted “light cages” to trap light inside atomic vapor, enabling fast, reliable storage of quantum information. The structures can be fabricated with extreme precision and filled with atoms in days instead of months. Multiple memories can operate side by side on a single chip, all performing nearly identically. The result is a powerful, scalable building block for future quantum communication and computing.

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced brain-like activity without any training at all. This challenges today’s data-hungry approach to AI development. The work suggests smarter design could dramatically speed up learning while slashing costs and energy use.

Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the same structure. The breakthrough comes from precise chemical design that lets electrons and ions reorganize dynamically. Unlike conventional electronics, these devices do not just imitate intelligence but physically encode it. This approach could reshape how future AI hardware is built.

A philosopher at the University of Cambridge says there’s no reliable way to know whether AI is conscious—and that may remain true for the foreseeable future. According to Dr. Tom McClelland, consciousness alone isn’t the ethical tipping point anyway; sentience, the capacity to feel good or bad, is what truly matters. He argues that claims of conscious AI are often more marketing than science, and that believing in machine minds too easily could cause real harm. The safest stance for now, he says, is honest uncertainty.

Researchers found that U.S. metal mines already contain large amounts of critical minerals that are mostly going unused. Recovering even a small fraction of these byproducts could sharply reduce dependence on imports for materials essential to clean energy and advanced technology. In many cases, the value of these recovered minerals could exceed the value of the mines’ primary products. The findings point to a surprisingly simple way to boost domestic supply without opening new mines.

A new microchip-sized device could dramatically accelerate the future of quantum computing. It controls laser frequencies with extreme precision while using far less power than today’s bulky systems. Crucially, it’s made with standard chip manufacturing, meaning it can be mass-produced instead of custom-built. This opens the door to quantum machines far larger and more powerful than anything possible today.

Scientists in Japan have confirmed that ultra-thin films of ruthenium dioxide belong to a newly recognized and powerful class of magnetic materials called altermagnets. These materials combine the best of two magnetic worlds: they’re stable against interference yet still allow fast, electrical readout—an ideal mix for future memory technology.