In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...

Over the past few years, engineers and material scientists have been trying to devise new optical systems in which light particles (i.e., photons) can move freely and in useful ways, irrespective of ...

University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

With increase in the applications of autonomous systems, in both civilian and military domains, it has become increasingly ...

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Explore the relationship between wildlife, habitats, and human impacts. Focus on wildlife management, conservation, and policy topics. At Michigan Tech, our master's in wildlife ecology and ...

ESPN launched a new direct-to-consumer service in August 2025. The service offers major enhancements within ESPN's streaming and app experiences. Here are key facts to know: New streaming plan details ...