Technical depth, not marketing. Architecture papers, benchmarks, engineering notes, experiments, and open-source releases — across agent systems, memory, autonomous decisions, and industrial AI.
Domain randomization and curriculum learning strategies for transferring navigation policies from simulation to real-world agricultural environments.
Code, data, and experiment configs published alongside papers.
Claims backed by benchmarks, ablation studies, and real-world deployments.
Core infrastructure open-sourced; research shared with community.
New research, product releases, engineering notes, and open-source work. Low volume, no marketing noise.
