Self-propulsion or slow diffusion: How bacteria, cells, and colloids respond to stimuli

What physical processes govern the movement of microscopic structures capable of interacting with their environment? The ...
Crypto Briefing

Martin DeVido: AI models are learning from each other, biological consciousness isn’t necessary for understanding AI, and the future intelligence of AI is predicted to surg…

AI-driven systems revolutionize agriculture by autonomously managing plant care, showcasing transformative potential in ...
IEEE

Functional Data Analysis for Prediction of Employee Presence

Abstract: The problem of space occupancy and the prediction of occupancy schedules has rarely been addressed, due to the highly stochastic behavior of occupants and the insufficient quality of data ...
Morning Overview on MSN

Model shows inner-ear hair bundles switch modes to sense and amplify sound

A new model built on stochastic thermodynamics shows that the tiny hair bundles inside the inner ear do not simply detect sound waves but actively switch between distinct operating modes, one tuned ...
IEEE

Dynamic Behavior and State Feedback Control of Hybrid Stochastic Infectious Disease System with Virus Concentration Perturbation

Abstract: A stochastic hybrid dynamic system with infectious diseases in prey population was constructed, where the influence of random disturbances on virus concentration in the environment is ...
National Bureau of Economic Research

Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...
Tech Xplore

New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement ...