Novel machine learning techniques can measure ocean's oxygen loss more accurately
Oxygen is essential for living organisms, particularly multicellular life, to metabolize organic matter and energize all life ...
Machine learning assists in predicting risk of stroke
Some patients with advanced heart failure can benefit from the support of a continuous-flow left ventricular assist device ...
Deep learning predicts risk for childhood obesity over three years
A deep learning model can predict the risk for obesity for young children using only routinely collected electronic health ...
Tech Xplore on MSN5d
Quantum encoding methods could slash circuit complexity in machine learning
A recent study by researchers from CSIRO and the University of Melbourne has made progress in quantum machine learning, a ...
Machine-learning analysis tracks the evolution of 16th-century European astronomical thought
A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more ...
Eos7d
Machine Learning Enhances Image Analysis in Biogeosciences
Machine learning can enhance our ability to identify communities of microorganisms and how they change in response to climate change over time.
Phys.org20d
New machine learning model quickly and accurately predicts dielectric function
More information: Tomohito Amano et al, Chemical bond based machine learning model for dipole moment: Application to dielectric properties of liquid methanol and ethanol, Physical Review B (2024).
Tech Xplore on MSN16d
Machine learning enhances defect detection in metal 3D printing
Researchers from Northwestern University, University of Virginia, Carnegie Mellon University, and Argonne National Laboratory have made a significant advancement in defect detection and process ...
Self-learning AI makes college football against the spread, money-line, over/under picks for Week 11 games
SportsLine AI evaluated the Week 11 college football odds and revealed its college football predictions, college football ...
EurekAlert!1d
We may be overestimating the association between gut bacteria and disease, machine learning study finds
But when researchers used a machine learning algorithm to predict the density of microbes ... Complete information on funding for this work can be found in the manuscript. Cell, Nishijima et al.