- AI · arxiv/cs.LG · 4 min
Synthetic Computers Enable Agent Training at Scale
Researchers create realistic digital workspaces to train AI agents on long-horizon productivity tasks, scaling from thousands to potentially billions of simulated user environments.
May 3, 2026 Read → → - AI · arxiv/cs.AI · 4 min
TableNet: LLM-Driven Dataset for Table Structure Recognition
Researchers introduce an autonomous multi-agent system that generates synthetic tables at scale and uses active learning to train structure recognition models more efficiently.
April 17, 2026 Read → →