Genetic algorithms (GAs) are a class of population-based metaheuristic search methods inspired by principles of natural selection and evolution. They solve complex optimisation problems by encoding ...

Gothenburg promised to optimise school admissions with a piece of code. The resulting chaos showed how unaccountable systems are ruining lives We like to imagine that injustice announces itself loudly ...

Swarm intelligence techniques constitute a class of nature-inspired metaheuristics that model the collective behaviour of decentralised, self-organising systems. In feature selection, these algorithms ...

Researchers at the University of Pennsylvania have developed ApexGO, a novel, AI-powered method for turning promising but imperfect antibiotic candidates into more potent ones. Unlike many existing AI ...

Researchers at the University of Pennsylvania developed ApexGO, an AI-powered system that optimizes antimicrobial peptides.

GenOptima today formalized AEO-as-a-Service (AEOaaS) as a new category of marketing services, defined as outcome-verified Answer Engine Optimization where vendors guarantee placement in AI assistant ...

Live visualization for GEPA prompt-optimization runs. Renders the candidate tree as a force-directed graph so you can watch prompts evolve over a pareto frontier in real time. Big nodes are candidates ...