BIOENGINEER

Machine Learning Models Analyze Tabular Clinical Data to Improve Glaucoma Detection

A systematic review of 35 studies demonstrates that machine learning models analyzing structured clinical, imaging, and ...
Nature

Machine Learning Applications in Materials Design - Latest research and news | Nature

Engineering economical and scalable processes for direct air capture (DAC) from humid air relies on atomistic modeling to search and identify promising sorbent materials from a va ...
Nature

Optimization Techniques in Machine Learning Applications

Optimization lies at the heart of machine learning, governing how models learn from data, tune internal parameters and adapt to new tasks. At its core, optimisation ...
BIOENGINEER

Machine learning sharpens leukemia diagnosis but waits on rigorous validation

A literature review finds that machine learning and bioinformatics have improved AML classification and risk stratification, ...

Machine learning helps track semiconductor defects under more realistic temperature conditions

All materials contain inherent defects. These are not always harmful, since they can be used to engineer and introduce ...
National Academies of Sciences%2c Engineering%2c and Medicine

Using Machine Learning in Safety-Critical Applications: Setting a Research Agenda

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...
Phys.org

Machine learning methods move self-driving labs closer to materials discovery at scale

Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for chemistry and materials discovery. Scientists know machine learning models ...
Forbes

How AI, Data Science, And Machine Learning Are Shaping The Future

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
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 ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...