This paper introduces advanced matrix extensions which is a new x86 extension that is
designed to accelerate deep learning performance. It discusses the evolution of hardware …

Abstract Large Language Models represent a disruptive technology set to revolutionize the
future of artificial intelligence. While numerous literature reviews and survey articles discuss …

The goal of the technology known as Field Programmable Gate Arrays (FPGA) is to improve
the safety, performance, and efficiency of cryptographic operations in contexts with limited …

Optimizing the deployment of Deep Neural Networks (DNNs) is hard. Despite deep learning
approaches increasingly providing state-of-the-art solutions to a variety of difficult problems …

The proliferation of embedded systems and the Internet of Things (IoT) has opened up new
possibilities for various applications. However, with these advancements come heightened …

Il machine learning (ML) e le reti neurali (NN) hanno grosse potenzialità in molti campi, tra
cui quello della classificazione di immagini, suoni, segnali, ecc. Alcuni task di …

Multiply-Accumulate (MAC) operation is widely used in various real-time image processing
tasks, ranging from Convolutional Neural Networks to digital filtering, significantly impacting …

The interest in Artificial Neural Networks (ANNs) has considerably increased in recent years
due to their versatility, which allows for dealing with a huge class of problems [1]. Nowadays …

Koneoppimisen hyödyntäminen on nykyään suosittua monessa eri sovelluskohteessa.
Erityisen suosittuja ovat neuroverkkomallit, joiden tarkkuus ja koko kasvavat vuosi vuodelta …

The path to a PhD is mired with taxing twists and turns, and, more than the research, it was
the people around me that kept me going. I owe deep thanks to many, but in this brief …