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A drone developed by Northwestern University exploits human visual characteristics by spinning the entire airframe at high speed, blurring its outline into near-invisibility. Through AI-driven optimization design, the team achieved roughly a tenfold reduction in visual detectability compared to conventional airframes, enabling highly covert flight.
A new theory has been published that explains the physical necessity behind the '2-to-1' mass ratio between dark matter and its mediator particle—a ratio required to satisfy resonance conditions. By naturally deriving this ratio from special geometric boundary conditions in a fifth dimension, the theory eliminates the artificial fine-tuning that was previously indispensable in conventional models.
A four-carbon sugar called erythrulose, tied to the blueprint of life, has been detected for the first time ever in a molecular cloud at the center of our galaxy. This overturns the conventional theory of carbon atoms being added one at a time, instead supporting a new synthesis pathway in space where two-carbon molecules bond together and grow all at once.
In chiral antiferromagnets, promising as next-generation memory materials, thinning the film thickness to 30 nanometers or less and optimizing heat dissipation has enabled ultrafast spin-reversal control that does not rely on heat. This opens a path to overcoming the speed limitations imposed by conventional thermal relaxation.
By applying black hole energy extraction theory to create synthetic rotation within an electronic circuit, researchers have succeeded in amplifying electromagnetic waves. This new principle promises to solve the power consumption and heat dissipation challenges plaguing conventional amplifiers, positioning it as a revolutionary technology to underpin next-generation ultra-high-speed optical communication infrastructure.
To correct drift in control parameters that occurs during quantum computation, a Google research team has developed a method that leverages quantum error correction detection signals for reinforcement learning. By using local error rates as a metric to autonomously adjust tens of thousands of parameters, continuous calibration becomes possible without ever halting computation.
A Korean research team has developed a technology that eliminates contact resistance at the junction with metal electrodes by forming continuous semimetallic and semiconducting regions within a single platinum diselenide thin film. Atomic-level observation proves the absence of electron traffic jams, contributing to lower power consumption in next-generation chips.
A research group at the University of Tokyo has developed, for the first time in the world, a technology that reads and writes the magnetic information of a single atom using only quantum mechanical "force," without using any electric current whatsoever. Because this method can prevent heat generation from Joule heating as well as malfunctions, it represents a groundbreaking achievement toward realizing the ultimate high-density memory.
A research team including KAIST automatically classified over 120,000 MoS₂ flakes and evaluated 1,615 FETs. By statistically capturing differences in current flow and switching performance across layer counts, they built a data foundation for 2D semiconductor design.
We examine the fast-charging degradation mechanism reported by Live Science against Geotab's data from 22,700 EVs and a test of 40 smartphones. EVs show a 12-point gap over an 8-year projection, while smartphones show just 0.5 points over 500 cycles—an order-of-magnitude difference in degradation scale that this article explains.
