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Genetic algorithms shaping smarter problem solving

Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
IEEE

Classification of Bird and Drone Targets Based on Radar Data Augmented with Feature Engineering using Trajectory Kinematics Analysis and using Random Forest Algorithm

Abstract: This paper investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) algorithms for the classification of bird and drone targets in radar systems. It gives ...
Northwestern's McCormick School of Engineering

Adaptive Algorithm Aims to Reduce Kidney Discards and Improve Transplant Access

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...