Mentioned in 2 AI use cases across 1 industries
An AI controller estimates the best operating point for a tidal turbine without relying on direct flow-speed sensors, so the turbine can keep harvesting as much energy as possible from changing tides.
When a cancer patient’s treatment gets disrupted by side effects, missed doses, infections, or regimen changes, the AI can be updated so its next dose suggestions reflect the new reality instead of the old plan.
The system first learns how an expert controller would drive a power inverter, then uses that learned behavior in real time while a robust safety-style controller corrects errors when the grid gets messy.
An AI controller decides in real time how much work should be done by the battery versus the supercapacitor in an electric vehicle, so the battery gets less stressed during sudden power spikes.
An AI controller learns in real time how to adjust a tidal turbine so it keeps working well even when ocean conditions act like an opponent trying to reduce performance.
A car dealership is using AI to help decide how to lend money to buyers directly, instead of relying only on outside lenders.