Interesting Engineering on MSN

New in-memory computing chip promises faster processing with lower energy use

Artificial intelligence chip developers SK hynix and TetraMem have demonstrated a new memory-centric processor ...
Agence France-Presse

TetraMem and SK hynix Showcase Successful Technology Collaboration Advancing Memory-Centric AI Computing

TetraMem Inc., a leader in Analog In-Memory Computing (A-IMC) technology, and SK hynix Inc., a global leader in AI memory and semiconductor technologies, today announced the successful completion of a ...
AOL

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

BEIJING, June 24, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, has completed ...
Nature

Forecasting fossil fuel consumption and greenhouse gas emissions using novel multi-variable grey system model with convolution integrals

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...
AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular Property Prediction

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Scientific Research Publishing

On Instability of Standing Waves for the Hartree Equation with a Magnetic Field ()

In this paper, we consider the strong instability of standing waves for the Hartree equation with a constant magnetic field.
IEEE

Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts

Abstract: Thanks to the development of deep learning, machine abnormal sound detection (MASD) based on unsupervised learning has exhibited excellent performance. However, in the task of unsupervised ...
IEEE

Course Recommendation Model Based on Layer Dropout Graph Differential Contrastive Learning

Abstract: At present, the course recommendation model of graph collaborative filtering mainly uses bipartite graph modeling to obtain user-course cooperative relationship. However, the bipartite graph ...
GitHub

Diverse Branch Block: Building a Convolution as an Inception-like Unit (PyTorch) (CVPR-2021)

DBB is a powerful ConvNet building block to replace regular conv. It improves the performance without any extra inference-time costs. This repo contains the code for building DBB and converting it ...
GitHub

Malware Classification Using Convolutional Neural Networks

This repository presents an image-based malware classification system developed. The proposed approach transforms malware binaries into grayscale images and applies Convolutional Neural Networks (CNNs ...