News

AI tool reveals single-cell structure of chromosomes—in 3D
In a leap forward for genetic and biomedical research, two scientists at the University of Missouri have developed a powerful ...
Neurosymbolic AI is the answer to large language models’ inability to stop hallucinating
Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...
WFMZ-TV3d
Bethlehem mayor visits children's center as part of weeklong celebration highlighting how early learning shapes children's development
This week is "Week of the Young Child," an annual initiative that highlights how early learning shapes children's development. Bethlehem Mayor J. William Reynolds visited the Reibman Hall Children ...
Frontiers2d
Unraveling Neural Network Dynamics: Integrating Artificial Neural Networks and Biological Network Models in Systems Neuroscience
Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...
ahajournals.org4d
Machine Learning–Based Model for Prediction of Outcomes in Acute Stroke
The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use in the medical field because ...
IEEE6d
An Overview of Supervised Machine Learning Algorithm
Abstract: Machine learning is a subset of Artificial intelligence. Algorithms for machine learning automatically learn from experience and improve from it without being explicitly programmed. Machine ...