Imagine unruly data as a wild beast. Mathematicians have found a way to tame it, locking it within a geometric cage shaped like an ellipsoid.
Researchers have shown that «memory attacks» on neural networks only work with prior knowledge. Without it, these models become impregnable fortresses.
Lab
How Non-Uniformity Turns the Quark «Soup» into a Perfect Fluid: A Tale of Cosmic Anisotropy
Physics & Space • High Energy Physics
This study reveals how even a slight non-uniformity in the motion of quarks and gluons fundamentally alters the properties of the Universe's primordial matter.
Lab
Quantum Measurements in Practice: Why Your Computer Can't See Everything the Universe Does
Physics & Space • Quantum Physics
Quantum physics knows how to distinguish between any particle states, but our computers can't – and this unlocks incredible possibilities for cryptography and computation.
New models of gravity show how tiny black holes – the potential components of dark matter – could have been born during cosmic inflation.
Lab
How to Make a Lithium Battery Tell the Truth: A New Method for Studying Batteries on the Fly
Electrical Engineering & System Sciences
Siberian engineers have developed a method to study the internal workings of lithium batteries in real time, without taking them apart or interrupting their operation.
Lab
Why Artificial Intelligence Learns From Our Mistakes: The Paradox of Inverse Reinforcement Learning
Finance & Economics
How machines decipher our hidden motives by observing behavior – from robotics to economics, where algorithms become archaeologists of human desire.
Lab
The Black Hole Symphony: Why Cosmic Giants Hold Their Note Amidst the Chaos
Physics & Space • General Relativity
Black holes sing their cosmic song through gravitational waves, and this melody remains astonishingly pure, even as the surrounding environment attempts to introduce dissonance.
Lab
Artificial Intelligence Learns to Think Like Samba: Finding the Perfect Rhythm Between Too Simple and Too Complex
Computer Science
Brazilian researchers have developed the SEELE method, which teaches AI to tackle problems like a samba dancer finding the perfect rhythm – not too slow, not too frantic. It's about discovering that sweet spot where the algorithm truly comes to life