In the technology sector, neural networks are at the heart of advancements made by companies like Google, Microsoft, and IBM.

Abstract: Electrical impedance tomography (EIT) is a novel imaging technique for lung monitoring. Due to traumatic injuries or surgical reasons, the number of electrodes for current injection and ...

Abstract: This paper presents an efficient hardware implementation of the recently proposed Optimised Deep Event-driven Spiking Neural Network Architecture (ODESA). ODESA is the first network to have ...

The e-commerce industry has seen remarkable progress over the last decade, with 3D rendering technologies revolutionizing how ...

The announcement of the artificial intelligence researchers John Hopfield and Geoffrey Hinton as this year’s Nobel laureates ...

A new approach optimizes tiny machine learning for ultra-low-power, flexible printed electronics, enabling efficient neural ...

Neural networks have traditionally operated as static models with fixed structures and ... Normalizing and encoding weight indices using Fourier features maps model space to weights via a multi-layer ...

implying that a portion of the computed connectivity may originate from physics rather than neural synchrony. To address this, our future work will incorporate source localization, facilitating ...

This repository provides ready-to-use software for high-dimensional neural network potentials in computational physics and chemistry.