AI / ML2026
EcoLogic
Code analysis, candidate refactors and runtime profiling with estimated energy and carbon comparisons.
Systems, applied AI, research and hardware. Explore the workflows, algorithms and engineering decisions behind the work.
Code analysis, candidate refactors and runtime profiling with estimated energy and carbon comparisons.
Grinding-circuit optimization combining graph-based reinforcement learning, constrained control and a virtual ball-charge estimator.
Rail traffic orchestration combining a digital twin, constrained scheduling and delay-propagation models.
Multimodal mine-risk analysis combining geotechnical telemetry, geospatial models and a zone-level digital twin.