A combination of unsupervised and supervised machine learning algorithms may be able to assist clinicians in identifying patients undergoing total knee arthroplasty who are more likely to have ...

Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse.

Labate and Marini used machine learning to train a computer to recognize astrocyte cells in images, similar to how recognition software identifies objects like cars or people in photographs. Once the ...

A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the power ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...

I am a machine learning researcher.With a team of scientists, I have developed a tool to make identification of microplastics using their unique chemical fingerprint more reliable. We hope that ...

Advances in machine learning are making identifying plastics in the environment more reliable Published: March 6, 2025 8:35am EST Ambuj Tewari , University of Michigan ...

Experts say that a weather pattern called “blocking” caused these conditions. This pattern stops normal airflow and can lead to very high temperatures in some parts of the Arctic.

A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels. A researcher from Sweden’s Jönköping University has proposed a ...

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists ...