A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
SEFR is a fast, energy-efficient classifier for ultra-low power devices.
Review of efficient neural networks for TinyML on resource-constrained devices.
New eGRU unit improves keyword spotting on ultra-low-power devices.
Implantable, closed-loop devices for automated early detection and stimulation of epileptic seizures are promising treatment options for patients with severe epilepsy that cannot be treated with traditional means. Most approaches for early seizure detection in the literature are, however, not optimized for implementati…
This paper tackles energy-efficient machine learning on low-power devices.
In natural hazard warning systems fast decision making is vital to avoid catastrophes. Decision making at the edge of a wireless sensor network promises fast response times but is limited by the availability of energy, data transfer speed, processing and memory constraints. In this work we present a realization of a wi…
Improves bit error tolerance in RRAM-based BNNs without overfitting.
FANN-on-MCU enables efficient neural network inference on IoT devices.