Wastewater Digest

Operators are building trust in machine learning recommendations at wastewater plants

Implementing machine learning tools in wastewater treatment plants offers measurable benefits such as chemical cost ...
TMCnet

MicroAlgo Inc. Develops Quantum Architecture Search (QAS) Technology to Enhance VQA Robustness and Trainability, Optimizing the Potential of Quantum Computing Devices

MicroAlgo QAS, by optimizing quantum circuit architectures, can significantly enhance the robustness of VQA in various noisy environments. By automatically searching for suitable circuit designs, QAS ...
EDN

The guardians inside: How radar is redefining in-cabin sensing

In-cabin sensing includes systems that monitor driver behavior, track occupant presence, and detect vital signs within the ...
Devdiscourse

Healthcare AI faces growing pressure over transparency, bias and clinical accountability

Read more about Healthcare AI faces growing pressure over transparency, bias and clinical accountability on Devdiscourse ...
Tech Xplore

Stress-testing method for cloud computing algorithms helps avoid network failures

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
New Scientist

We might finally know how to use quantum computers to boost AI

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine learning and similar algorithms in the near future ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
IEEE

Applications of Machine Learning in Human Factors and Ergonomics: A Comprehensive Review of Research From the Past Decade

Abstract: This study provides a comprehensive literature review of 130 peer-reviewed journal articles published between 2015 and 2024 on the application of Machine Learning (ML) algorithms in Human ...