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.
Optical co-processor speeds up neural network training.
Photonic co-processor speeds up training of large neural networks.
This paper evaluates ASR models on various co-processors, showing hardware acceleration benefits.
LightOn OPUs accelerate randomized numerical linear algebra, reducing computational costs.
Artificial Neural Networks (ANNs) are currently being used as function approximators in many state-of-the-art Reinforcement Learning (RL) algorithms. Spiking Neural Networks (SNNs) have been shown to drastically reduce the energy consumption of ANNs by encoding information in sparse temporal binary spike streams, hence…
Adaptive market maker curves minimize arbitrage losses in DeFi.
Most cryptocurrencies rely on Proof-of-Work (PoW) "mining" for resistance to Sybil and double-spending attacks, as well as a mechanism for currency issuance. Hashcash PoW has successfully secured the Bitcoin network since its inception, however, as the network has expanded to take on additional value storage and transa…