Computing (Control + Intelligence)

Purpose

Turn measurements into decisions: planning, scheduling, control, learning.

Layers

• Edge: low-latency perception and safety control
• Cloud: scheduling, simulation/digital twins, analytics, marketplace intelligence
• Model stack: detection/classification, forecasting, optimization, anomaly detection
• Evaluation harness: acceptance tests for models and workflows (defines “good”)

What it enables

• global scheduling across sites (time/location conductance)
• energy-aware dispatch (run processes when power is cheaper/available)
• stable closed-loop policies (control theory + ML)
• continuous improvement from field feedback

Near-term build list

• a canonical “job graph” representation (tasks, resources, constraints)
• an evaluation suite for each vertical (home/recycling/storage/factory)
• a cost model (material + energy + time + risk)