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A research team at the University of Toyama has developed a unique two-stage annealing process to solve the amorphous-structure problem that has long limited OLED efficiency. Without relying on special substrates, the method forms giant single-crystal thin films and boosts current density by up to a thousandfold—a groundbreaking achievement.
US startup FAST Metals has developed technology to extract rare earths and other critical minerals from aluminum refining's toxic waste at low cost. The effort to turn the 4 billion tons of waste sitting around the world into a resource aims to both cut environmental harm and build a supply chain independent of China.
A research team including Hong Kong University of Science and Technology has developed a new photonic integrated circuit technology that uses the entire area of a material as a waveguide. By exploiting symmetry breaking to control the direction of light propagation region by region, the team eliminated the thick insulating layers that were previously indispensable, dramatically improving spatial efficiency.
An international research team has demonstrated for the first time a "photonic time crystal" that manipulates light not through spatial structure, but through periodicity in time. By using powerful terahertz pulses generated with a particle accelerator to modulate a material's optical properties on a picosecond timescale, the team succeeded in dramatically suppressing photon dissipation.
A research team at the University of Tokyo cooled a nanoparticle levitated in vacuum down to near absolute zero and applied a "quantum quench," rapidly manipulating laser intensity. This technique circumvents the noise inherent in quantum mechanical zero-point fluctuations, achieving a 100-fold improvement in sensitivity for detecting minute accelerations.
OpenAI's next-generation model "Astra" has resolved 10 unsolved problems in mathematics, including the Erdős conjecture. At a compute cost of roughly $2,000, it succeeded in updating a decades-stagnant upper bound on high-dimensional sphere packing and disproving a longstanding hard problem, signaling a potential turning point for AI in mathematical research.
A research team from IBM and the University of Chicago has developed a method that mathematically guarantees the correctness of computations impossible for classical computers. By embedding specific gates into error-detectable circuits, they succeeded in surpassing the limits of classical computation while obtaining highly reliable results.
According to a paper analyzing Einstein's scientific discoveries, LLMs demonstrate high competence in induction and deduction, but face structural constraints in abduction—the process of deriving new axioms from physical intuition. Data compression and statistical processing alone make it difficult to generate leaps into unknown concepts.
HRL controls a silicon QPU configurable up to 18 qubits using 4K CMOS, running a distance-5 code on 7 qubits. By removing real-time control from room temperature, it takes on the wiring scaling wall.
