As artificial intelligence continues to integrate into various aspects of our lives, the next frontier in AI technology is quickly ...

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...

This study from MIT explores eye evolution through AI simulations, uncovering how different tasks shape visual systems and their neural processing requirements.

In the very first week of January 2026, the “Scattered Lapsus$ Hunters,” a collaboration between prolific cybercrime ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on intelligence and data, not just execution ...

A Reinforcement Machine Learning Minesweeper Algorithm written in Java. It learns Minesweeper by failing repeatedly and learning from its mistakes. It scans a Minesweeper board for subsets of numbers, ...

According to God of Prompt on Twitter, DeepMind has published groundbreaking research in Nature led by David Silver, introducing an AI meta-learning system capable of autonomously discovering entirely ...

W4S operates in turns. The state contains task instructions, the current workflow program, and feedback from prior executions. An action has 2 components, an analysis of what to change, and new Python ...