Matcha model makes drug candidate screening more than 30 times faster

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
Que.com on MSN

New opportunities for BTC and ETH: How JBStrategy AI quantitative trading can usher in a new era of profitability in 2026

From highly volatile markets to intelligent yield systems, JBStrategy is reshaping the logic of crypto asset investment.
Scientific Research Publishing

Integrating Multi-Agent Reinforcement Learning and Evolutionary Game Theory for Adaptive Virtual Bidding Strategies in Electricity Markets ()

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
Que.com on MSN

AI-evolved adaptive robot is nearly impossible to destroy

AI-Evolved Adaptive Robot Is Nearly Impossible to Destroy Robots have long been designed around a simple assumption: their bodies and ...
Search Engine Land

Mastering generative engine optimization in 2026: Full guide

Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 ...
IEEE

A Novel Evolutionary Bayesian Optimization Algorithm Based on Decomposition for Expensive Constrained Multiobjective Optimization Problems

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
IEEE

A Kriging-Assisted Evolutionary Algorithm With Dual Perspectives and Dual Indicators for Expensive Robust Multiobjective Optimization

Abstract: Balancing optimality and robustness is the key to solving expensive robust multiobjective optimization problems (ExRMOPs) by evolutionary algorithms. However, existing studies usually design ...
Scientific Research Publishing

Deb, K. and Jain, H. (2014) An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems with Box ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...