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

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 ...

When students joined in virtually, I made sure to affirm their input and invite them to elaborate further,” she recalls.

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

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 ...

Abstract: The discovery of community structure in complex networks has become a hotspot in recent years. As an NP-hard problem, community detection can be solved by multiobjective evolutionary ...