News

AI and biophysics unite to forecast high-risk viral variants before outbreaks
When the first reports of a new COVID-19 variant emerge, scientists worldwide scramble to answer a critical question: Will ...
Communications of the ACM2d
Thinking Fast and Slow in Human and Machine Intelligence
To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...
IEEE2d
Application of Machine Learning algorithms for betterment in education system - IEEE Xplore
Machine learning is the process which converts the information into intelligent actions. This paper presents a literature review on application of different Machine Learning algorithms on huge amount ...
IEEE17d
Intelligent Predictive Maintenance for Motor Health Monitoring Using IoT Sensors and Machine Learning Algorithms - IEEE Xplore
An Internet of Things (IoT)-based motor damage diagnosis and predictive maintenance system using machine learning (ML) for on-time motor health diagnostics. Critical information consisting of to a ...
The Lancet21d
Comparison of machine learning and human prediction to identify trauma patients in need of hemorrhage control resuscitation (ShockMatrix study): a prospective observational ...
Machine learning could improve the timely identification of trauma patients in need of hemorrhage control resuscitation (HCR), but the real-life performance remains unknown. The ShockMatrix study ...
C&EN24d
Predictive Modeling of Yield Sooting Index Using Machine Learning with Uncertainty Estimation | ACS Omega - ACS Publications
This study explores the development of two predictive models for the yield sooting index (YSI) of various fuels using the advanced capabilities of machine learning (ML), particularly multilayer ...