Maine Public

How algorithms wreaked havoc with these workers' schedules and cut their pay

Hourly workers across a number of industries have long been grappling with unstable schedules and pay as their employers use ...
IEEE

Runtime Analysis of Evolutionary Algorithms for Multi-Party Multi-Objective Optimization

Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...

Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
IEEE

Trade-off-aware Analog Circuit Sizing Based on A Multitask Surrogate Model-assisted Evolutionary Algorithm

Abstract: Identifying the trade-off relations among various performances is essential in analog integrated circuit sizing, and multiobjective optimization is a routine method. However, mature ...

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 — ...