The hidden physics of knot formation in fluids

Knots are everywhere—from tangled headphones to DNA strands packed inside viruses—but how an isolated filament can knot ...

AI helps explain how covert attention works and uncovers new neuron types

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

When neural spikes break time's symmetry: Linking the information-theoretic cost of brain activity to behavior

What if we could peer into the brain and watch how it organizes information as we act, perceive, or make decisions? A new ...
IEEE

Theory of Broadband Transmission of Frequency Modulated Signals Through High-Q Resonators With Continuous Time-Varying Matching Networks

Abstract: Impedance match to a high-Q load with a passive network is fundamentally narrow band as its linear, time-invariant (LTI) property is subject to the Bode-Fano limit. However, such a limit may ...
New Scientist

Qubits break quantum limit to encode information for longer

Controlling qubits with quantum superpositions allows them to dramatically violate a fundamental limit and encode information ...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
IEEE

Time Series Signal Analysis With Information Granulation Based on Permutation Entropy: An Application to Electroencephalography Signals

Abstract: In this article, we reported a novel granulation method composed of complexity information based on permutation entropy (PeEn). This method aims to recognize the electroencephalography (EEG) ...