Machine learning systems have become increasingly popular in the world of scientific research, and it’s easy to understand why. The algorithms — designed to examine complex, wide-ranging datasets for ...

Using machine learning, researchers are able to use data from the brain to glean deeper insights and apply this new knowledge in clinical settings. The findings will be presented on Monday, November ...

As Philadelphia strives to meet greenhouse gas emissions goals established in its 2050 Plan, a better understanding of how zoning can play a role in managing building energy use could set the city up ...

Did you know Neural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021. Secure your ticket now! Machine learning is ...

In a study recently published in the Cell Reports Medicine Journal, scientists utilized plasma protein proteomics to identify proteins associated with the onset of type 1 diabetes. Over 2,250 samples ...

AI meets isotope science: Machine learning is enhancing isotope analysis techniques, improving efficiency, accuracy, and insights into geochemical processes. Key hurdles remain: Data scarcity, limited ...

For more than a decade, a fundamental mystery has surrounded graphene—the one-atom-thick "wonder material" known for its ...

The big data revolution, accompanied by development and deployment of wearable medical devices and mobile health applications, has enabled the biomedical community to access more data with which to ...

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 ...

A new study published in Lupus Science & Medicine discusses how machine learning (ML) opens new possibilities for studying lupus disease, from building predictive models, identifying new biomarkers, ...