New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
IEEE

Distributed Predefined-Time Optimization Algorithm: Dynamic Event-Triggered Control

Abstract: In this article, two types of problems: 1) unconstrained and 2) constrained optimization are solved by developing a class of distributed predefined-time algorithms under dynamic event ...
Nature

Molecular dynamics articles from across Nature Portfolio

Molecular dynamics is a method that uses Newton’s equations of motion to computationally simulate the time evolution of a set of interacting atoms. Such techniques are dependent on a description of ...
IEEE

Probe Population-Based Initialization and Genetic Pool-Based Reproduction for Evolutionary Bi-Objective Feature Selection

Abstract: Feature selection can be treated as a bi-objective optimization problem, if aimed at minimizing both classification error and number of selected features ...