Search Results for author: Luka Ribar

Found 4 papers, 3 papers with code

SparQ Attention: Bandwidth-Efficient LLM Inference

1 code implementation8 Dec 2023 Luka Ribar, Ivan Chelombiev, Luke Hudlass-Galley, Charlie Blake, Carlo Luschi, Douglas Orr

The computational difficulties of large language model (LLM) inference remain a significant obstacle to their widespread deployment.

Language Modelling Large Language Model

Reliability of Event Timing in Silicon Neurons

no code implementations28 Dec 2021 Tai Miyazaki Kirby, Luka Ribar, Rodolphe Sepulchre

Analog, low-voltage electronics show great promise in producing silicon neurons (SiNs) with unprecedented levels of energy efficiency.

Neuromorphic Control

1 code implementation9 Nov 2020 Luka Ribar, Rodolphe Sepulchre

Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biological organization of neural systems to develop novel technology for computing, sensing, and actuating.

Neuromodulation of Neuromorphic Circuits

1 code implementation15 May 2018 Luka Ribar, Rodolphe Sepulchre

We present a novel methodology to enable control of a neuromorphic circuit in close analogy with the physiological neuromodulation of a single neuron.

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