Topics

Can AI truly invent instead of imitate? A groundbreaking logic framework enables machines to blend concepts creatively, producing original ideas in music, mathematics, and beyond.

Stanford’s new GNN-powered method cracks the NP-hard subgraph matching problem, enabling fast motif discovery in massive graphs from biology to social networks.

Hruy argues that today’s online/social media platforms are deliberately designed to engineer artificial stupidity, quietly cultivating a future population optimized for content consumption rather than analysis and thought.

Traditional genetic programming relies on blind crossover, often breaking useful code. New methods like GP-GOMEA learn structure, preserve building blocks, and enable scalable software evolution.

Evolution in code has always been clumsy and wasteful. Now, GP-GOMEA teaches programs to protect what works and evolve with purpose.

Tree-Miner: A breakthrough sequential pattern mining algorithm using compact SP-Tree for ultra-efficient discovery of frequent patterns even at low support thresholds.

Why just ask AI for answers when it can evolve them? LEAPS blends LLMs and evolutionary algorithms to generate, mutate, and refine solutions like nature.

Genetic programming finally scales: GP-GOMEA’s smart mixing plus IEBL’s auto-learned building blocks deliver compact, fast solutions on tough problems no tuning required.