Governance of AI agents, verifiability and compliance of autonomous systems.
The Apple M1 SoC (10 November 2020) keeps CPU, GPU and Neural Engine on the same memory, with no copies between separate spaces. Technical notes on the architecture and on what changes when you decide where a training job runs.
Read moreOn a production line that uses machine learning to catch defects, the result depends more on the labels and on optical stability than on the algorithm. Technical notes on features, models and operational constraints.
Read moreTraining a classifier is the easy part. Keeping it in service — serialisation, data drift, retraining, accountability for the decisions — is the bill you pay every day.
Read moreMounting air-quality sensors on a vehicle produces data the fixed-station rules cannot interpret. Technical notes on measurement traceability, starting from the RIPEG system.
Read moreHow a schema-based cognitive architecture turns into a concurrency problem: parallel threads, activation energy and resource allocation among competing units, from Selfridge's Pandemonium to C++ implementations.
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