Brain-Computer Interface Neural Decoding Architecture (2026)
Neural decoding explained: how a brain-computer interface turns spikes into intent - signal chain, spike sorting, decoder models, closed-loop calibration and honest limits.
The Autonomous Materials-Discovery Pipeline: Closed-Loop Synthesis and Characterization (2026)
Inside an autonomous materials-discovery pipeline: ML screening, robotic synthesis, automated characterization, and the learning loop — plus an honest look at the A-Lab novelty debate.
Bayesian Optimization for Autonomous Experiments: The Planner Inside a Self-Driving Lab (2026)
How Bayesian optimization and active learning plan physical experiments: surrogate models, acquisition functions, batch/parallel design, and cost-aware search over a real design space.
Feature Store Architecture: Online/Offline Parity and Point-in-Time Correctness
A feature store architecture deep-dive: online/offline parity, point-in-time correct joins, materialization, and the registry - how to stop training/serving skew in production ML.
Real-Time Fraud Detection Architecture: Sub-100ms Scoring (2026)
A four-tier real-time fraud detection architecture: streaming ingest, online features, sub-100ms scoring, and a decision layer balancing recall and FPR.