3 papers
eess.SP2026
Low-Power On-Device Gesture Recognition with Einsum Networks
Sahar Golipoor, Lingyun Yao, Martin Andraud +1
We design a gesture-recognition pipeline for networks of distributed, resource constrained devices utilising Einsum Networks. Einsum Networks are probabilistic circuits that featur…
cs.LG2025
Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications
Jelin Leslin, Martin Trapp, Martin Andraud
Neurosymbolic AI (NSAI) has recently emerged to mitigate limitations associated with deep learning (DL) models, e.g. quantifying their uncertainty or reason with explicit rules. He…
cs.AR2025
Acore-CIM: build accurate and reliable mixed-signal CIM cores with RISC-V controlled self-calibration
Omar Numan, Gaurav Singh, Kazybek Adam +6
Developing accurate and reliable Compute-In-Memory (CIM) architectures is becoming a key research focus to accelerate Artificial Intelligence (AI) tasks on hardware, particularly D…