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

A Data-Driven Evolutionary Algorithm for Dynamic Vehicle Routing Problems With Time Windows Under Limited Computational Time

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
IEEE

Weapon Target Assessment With Dynamic Hit Probabilities and Heterogeneous Targets: A Two-Stage Model and Solving Algorithms

Abstract: As a classic optimization problem, the weapon target assignment (WTA) problem is widely studied. However, existing WTA models are mostly established on single-hit destruction and static hit ...

OpenAI launches GPT-5.5, moving closer to its vision of a unified AI ‘super app’

OpenAI has launched GPT-5.5, a more advanced and efficient AI model with improved reasoning, coding and research capabilities ...