IEEE

A Surrogate-Assisted Evolutionary Framework for Expensive Multitask Optimization Problems

Abstract: This article proposes a surrogate-assisted evolutionary framework (called SELF) to solve expensive multitask optimization problems (ExMTOPs). SELF consists of two main phases: 1) global ...
IEEE

Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection

Abstract: Solving constrained multi-objective optimization problems with evolutionary algorithms has attracted considerable attention. Various constrained multi-objective optimization evolutionary ...

A.I.’s First Big Math Breakthrough Is Not What It Seems

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...
NPR

Bumblebees have tiny brains but they can solve problems like chimps and elephants

For new discoveries, everyday mysteries, and the science behind the headlines, follow NPR's ShortWave podcast . Over a century ago, the German psychologist Wolfgang Köhler conducted what became a ...

Microsoft's AI Futurist explains how he uses Copilot — and the real-world problems enterprises are solving with agents

In terms of the agents you build, Bayer put up its own agent system on Foundry, and now it has 20,000 of its own employees on it.
GitHub

Simple Preference Optimization (SimPO)

Given the various inquiries about SimPO, we provide a list of tips to help you reproduce our paper results and achieve better outcomes for running SimPO on your own tasks. Our released Llama3 models ...