A team of engineers has figured out how to convert neural networks into standard logic chains, boosting performance on weak processors by 15% without sacrificing accuracy.
How the Nucleus Reaches Equilibrium: Parity and Deformation in Plutonium Isotopes
Physics & Space • Nuclear Physics
Calculations have shown that in the strongly deformed states of fission isomers, the energy required to establish parity equilibrium drops by nearly half compared to the ground state.
When Einstein Meets Maxwell: How Magnetic Fields Twist Spacetime
Physics & Space • General Relativity
What happens when you dunk a flattened star into a magnetic field? You get a spacetime where particles dance to a new beat of gravity. Let's break down this cosmic ballet.
Wave Functions of the AKNS Hierarchy: How Does a Mathematical Abstraction Unite Disparate Worlds?
Physics & Space • Mathematical Physics
This study demonstrates that the \u03c4-functions of the Ablowitz-Kaup-Newell-Segur (AKNS) hierarchy are a special case of the universal Kadomtsev-Petviashvili (KP) hierarchy, specifically via wave functions.
How to Distribute the «Brain» Among Antennas: A New Architecture for Borderless Networks
Electrical Engineering & System Sciences
When every access point becomes a local coordinator rather than just a repeater, the network runs faster without overloading the data center.
Does Artificial Intelligence Trust Its Eyes More Than Central Bank Statistics?
Finance & Economics
Research shows: language models form economic expectations just as irrationally as humans do, prioritizing personal experience over official data.
Symphony of Determinants: How Matrix Integrals Unlock the Mysteries of the Riemann Zeta Function
Physics & Space • Mathematical Physics
Mathematical structures linking unitary matrices and Bessel functions reveal an unexpected harmony between number theory and quantum chaos.
How to Teach AI to Discover New Things Right on the Dance Floor: Training Neural Networks During Testing
Computer Science
Researchers have taught a language model to find optimal solutions in science not through preliminary preparation, but by learning right in the process of working on a specific task.
Genomic Mosaic: Teaching a Computer to Discern Kindred Spirits Among Billions of Letters of Life
Biology & Neuroscience
We dissect how algorithms find resemblances between biological sequences – a task where simple measures are absent, and every decision balances speed and accuracy.