Computers and Math from Science Daily Feed

In a breakthrough experiment, scientists directly imaged how particles pair up in a system that mimics superconductors. Instead of behaving independently, the pairs moved in a synchronized, dance-like pattern—something never predicted before. This suggests a major gap in the classic theory of superconductivity.

Scientists have created tiny “optical tornadoes” — swirling beams of light that twist like miniature whirlwinds — using a surprisingly simple setup based on liquid crystals. Instead of relying on complex nanotechnology, the team used self-organizing structures called torons to trap and manipulate light, causing it to spiral and rotate in intricate ways. Even more impressively, they achieved this effect in light’s most stable, lowest-energy state, making it far easier to generate laser-like beams with these unusual properties.

Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By combining a specially designed neural network with precise 3D tracking of particles in a dusty plasma—a strange “fourth state of matter” found from space to wildfires—the team revealed hidden patterns in how particles interact. Their model captured complex, one-way (non-reciprocal) forces with over 99% accuracy and even overturned long-held assumptions about how these forces behave.

A breakthrough in brain-inspired computing could make today’s energy-hungry AI systems far more efficient. Researchers have engineered a new nanoelectronic device using a modified form of hafnium oxide that mimics how neurons process and store information at the same time. Unlike conventional chips that waste energy moving data back and forth, this device operates with ultra-low power—potentially slashing energy use by up to 70%.

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By tracking how temperature patterns shift over time, it can reveal fast-moving, small-scale currents that were previously impossible to observe directly. These currents are key to understanding climate, marine ecosystems, and carbon storage. The breakthrough works using satellites already in orbit, making it both powerful and cost-effective.

A 150-year-old rule in geometry has been proven wrong. Mathematicians found two different doughnut-shaped surfaces that look identical when measured locally but are actually different overall. For decades, researchers suspected this might be possible but couldn’t prove it—until now. The breakthrough reshapes how mathematicians understand the relationship between local measurements and global form.

AI-powered personas are becoming so realistic that they can infiltrate online communities and subtly steer public opinion. Unlike traditional bots, they adapt, coordinate, and refine their messaging at a massive scale, creating a false sense of consensus. Early warning signs—like deepfakes and fake news networks—have already appeared in global elections. Researchers warn that the next election could be the true test of this technology’s power.

After two centuries of failed attempts, scientists have finally grown dolomite in the lab, cracking a long-standing geological puzzle. They discovered that the mineral’s growth stalls because of tiny defects—but in nature, those flaws get washed away over time. By mimicking this process with precise simulations and electron beam pulses, the team achieved record-breaking crystal growth. The finding could reshape how high-tech materials are made.

A surprising breakthrough in physics could reshape the future of computing by tapping into a strange, previously untapped property of matter. Scientists have shown that tiny atomic vibrations—called chiral phonons—can directly transfer motion to electrons, allowing them to carry information without magnets, batteries, or even electricity. This opens the door to a new field known as orbitronics, where data is processed using the orbital motion of electrons instead of traditional charge or spin.

Calling AI things like “smart” or saying it “knows” something might sound harmless, but it can quietly mislead people about what AI actually does. A new study shows that news writers are more careful than expected, rarely using strongly human-like language. When they do, it often falls on a spectrum—sometimes describing simple requirements, other times hinting at human traits.

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.