Winograd convolutions cost us 2 mAP and we didn't notice for a month
TL;DR: We turned on Winograd convolution to shave latency off a pedestrian detector running on a Cortex-A53, got a clean 18% speedup, and silently los…
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Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch
Modern quantum circuit simulation is not just “machine learning with complex tensors.” It involves irregular tensor contractions, sparse operators, st…
Our event-camera detector lost 6 mAP to a badly chosen accumulation window
TL;DR: We spent three weeks chasing a 6 mAP regression in an event-camera object detector. The model was fine. The bug was the accumulation window we …
From Bayesian to deep knowledge tracing — upgrading NumPath's student model with a PyTorch LSTM
BKT told us how well a student knows subtraction-with-borrowing. It had no idea that a student who reverses digits on subtraction problems probably al…
QAT vs PTQ on our edge vision model: 6 months of A/B data
TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on the same defect-classification model deployed on …
Детекция чужого почерка в экзаменационных бланках без эталонного образца
Один ученик писал экзаменационную работу, а кто-то чужой дописал часть за него. Как мы научили нейросеть распознавать это. Дано: государственная аттес…
Использование машинного обучения в работе с SolidWorks (2 часть): тестирование и практическое применение
В прошлой статье я поделился своими наработками в области работы ИИ с CAD-программами (в моём и нашем случае, SolidWorks). В этот раз поделюсь п…