-
learning algorithm that leverages information contained in low-amplitude gravity perturbations (coined PEGS for Prompt Elasto-Gravity Signals, Vallée et al., 2017) to provide rapid unsaturated magnitude
-
: abstractions for LLM-powered operators and task-specific execution harnesses; algorithms for quality-, cost-, and latency-aware workflow optimization; methods for validating and adapting LLM-generated workflows
-
Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
expertise. The LA is highly responsive to mechanical stresses due to its role as a reservoir, conduit, and pressure sensor. Excessive stresses drive diseases like AF by activating mechano-sensitive channels
Searches related to algorithm sensor
Enter an email to receive alerts for algorithm-sensor positions