Combination of quantum and classical computing supports early diagnosis of breast cancer

Quantum computing is still in its early stages of development, but researchers have extensively explored its potential uses.
IEEE Spectrum on MSN

“Hearing Car” Detects Sounds for Safer Driving

According to Brandes, early benchmarks for the Hearing Car system include detecting sirens up to 400 meters away in quiet, low-speed conditions. That figure, he says, shrinks to under 100 meters at ...
IEEE

Graph Neural Network Architecture for MIMO Channel Estimation

Abstract: Graph Neural Networks (GNNs) are gaining popularity to solve wireless communication problems due to the inherent nature of viewing wireless networks as graphs. In this paper, we investigate ...
IEEE

Social Media Sentiments Analysis using Convolutional Neural Network and Support Vector Machine

Abstract: Speech emotion recognition (SER) is a critical area of research in human-computer interaction, enabling applications such as sentiment analysis, virtual assistants, and psychological ...

MLCommons New MLPerf Tiny v1.3 Benchmark Results Released

This release includes 70 results across five benchmark tests, submitted by four participants: Kai Jiang, Qualcomm, ST Microelectronics, and Syntiant. This includes 27 power results, an increase from ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
C&EN

High-Throughput Molecular Design of Donors and Non-Fullerene Acceptors for Organic Solar Cells Based on Convolutional Neural Networks

Department of Applied Physics, Lanzhou University of Technology, Lanzhou, Gansu 730050, China College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China ...
marktechpost

Building an Advanced Convolutional Neural Network with Attention for DNA Sequence Classification and Interpretability

In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...