Ultra-thin MoS2 memtransistor arrays feature controlled Schottky barriers, low variability, and reliable switching, boosting ...

Cisco and Nvidia are reinventing the data center for the AI era with new hardware, shared blueprints, and a vision for faster ...

In a groundbreaking discovery, scientists have unearthed a 520-million-year-old fossil with an intact brain and nerves, ...

Nvidia used NATTEN to fine-tune its prediction model, Cosmos Predict, and the company introduced the second version of the ...

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

Abstract: This paper presents a novel approach to Quadrature Amplitude Modulation (QAM) demodulation using neural networks, addressing the limitations of traditional demodulation techniques in complex ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite these advancements, predicting absorption and emission ...

This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and reverse-engineer the rules. Alexander Mordvintsev showed me two clumps of pixels on ...