AI & ML Research 8 Hours

Last updated: May 20, 2026, 8:48 PM ET

AI Survey Automation Researchers demonstrate that applying unlearning techniques to large language models eliminates mode collapse, enabling synthetic respondents to generate diverse answers that match real‑world survey variance, a step toward cost‑effective data collection without human panels.

Agent Cost Optimization A new framework blends operations‑research models with data‑science pipelines to schedule AI agent tasks, cap skill overlap, and enforce budget caps, cutting projected compute spend by up to 30% while preserving task coverage across multi‑agent deployments.