Al in Clinical Workflow Market worth $11.08 billion by 2030 | MarketsandMarkets™

According to MarketsandMarkets™, the Al in Clinical Workflow Market is projected to grow from about USD 2.78 billion in 2025 ...

L'Air Liquide's Hydrogen and Decarbonization Push Could Be A Game Changer For L'Air Liquide ...

In recent months, L'Air Liquide has advanced its ADVANCE 2025 plan by pushing forward large-scale hydrogen, carbon capture, ...
Frontiers

Social anxiety prediction model for nursing students based on machine learning: a cross ...

Background: The purpose of this study is to use a variety of machine learning (ML) algorithms to build a risk prediction model for nursing students’ social anxiety, select the optimal model, and ...
CNX Software

Edgi-Talk machine learning development kit features Infineon PSOC Edge E84 Edge AI SoC ...

Edgi-Talk is a machine learning platform/development kit powered by an Infineon PSOC Edge E84 Arm Cortex-M55/M33 SoC featuring Arm Helium, an Arm Ethos-U55 micro NPU, and an ultra-low-power NNLite ...
GitHub

Synthetic cybersecurity log simulator for research, SOC automation testing, and machine ...

About This Project Phantom Armor Synthetic Log Simulator is an open research effort designed to help the security community evaluate detection and SOC automation systems on realistic, labeled, but ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Medical Xpress

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized ...

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 ...
IEEE

A Web-Integrated Machine Learning Approach for SOC Prediction Based on Electrical Impedance ...

Abstract: Accurate estimation of the State of Charge (SOC) is essential for the efficient and safe operation of lithium-ion battery systems, particularly in electric vehicles and renewable energy ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...