Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Insilico Medicine has launched Science MMAI Gym, a domain-specific training infrastructure designed to transform LLMs into their best shape for drug discovery and development.

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Every year, companies and space agencies launch hundreds of rockets into space—and that number is set to grow dramatically with ambitious missions to the moon, Mars and beyond. But these dreams hinge ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

Abstract: A flexible job-shop scheduling problem with lot streaming (FJSP-LS) is an extension of flexible job-shop scheduling problems (FJSPs). In it, jobs are allowed to be split into multiple ...

Abstract: This paper introduces a hybrid optimisation framework that integrates Genetic Algorithms (GAs) and Reinforcement Learning (RL) for the construction of high-order Runge–Kutta (RK) schemes.

In this video, I demonstrate how I trained an AI to play the classic game of Snake What happened with the 14th Amendment? Hochul calls for action after 'timeout' boxes found at NY schools Taylor Swift ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...