Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake interval constraints, formulates a combinatorial optimization model, and ...

Abstract: This paper presents a simulation-based decision optimization framework for smoke-screen munition deployment that maximizes effective occlusion against an incoming missile. The method ...

A novel differentiable approach optimizes geometric waveguide coatings, achieving substantial gains in light efficiency and uniformity for optical AR displays.

China is teaching its drones to fight like animals. Engineers at Beihang University, a military-linked school, created a ...

If you want to test out an idea in HPC simulation and modeling and see how it affects a broad array of scientific ...

Knowable Magazine reports 2025 faced turmoil in U.S. science amid job cuts and budget slashes, yet saw advances in gene ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

This project is a Data Structures and Algorithms (DSA) based simulation system that models the spread of an infectious disease (such as COVID-19) across a social network. The social network is ...