Farm fields become living labs as data tools reshape crop research

For generations, agronomic knowledge has been produced on research stations like AU Flakkebjerg, where fields are designed to ...
EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...
Techno-Science.net on MSN

Continuous learning of AIs: towards an approach inspired by biological synapses

The continuous assimilation of knowledge by artificial intelligence systems relies on a delicate compromise between their ...
hcinnovationgroup

Mayo Clinic, Bayesian Health Develop Solution to Expand Palliative Care Access

In 2021, Healthcare Innovation interviewed Suchi Saria, Ph.D., a professor of machine learning and healthcare at Johns Hopkins University in Baltimore, about a company she founded called Bayesian ...
techxplore

Living brain cells enable machine learning computations

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
techxplore

Researchers use machine learning and social network theory to identify formation patterns in digital forums

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people connect with each other—to better understand how people interact online.
Frontiers

Implementing physics-informed neural networks with deep learning for differential equations

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Frontiers

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...