Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...

Nvidia CEO Jensen Huang gives a comprehensive Year in AI Recap and forward-looking discussion on the explosive growth of AI infrastructure, scaling laws, partnerships, competitive dynamics, and ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...

Abstract: This paper uses the cumulative prospect theory to describe the uncertainty of link impedance caused by demand changes, and introduces the prospect value to evaluate the value of each path in ...

Abstract: Thanks to the fine-grained resource management capabilities, serverless computing has been extended to edge cloud environments to support diverse Artificial Intelligence of Things (AIoT) ...

A successful humanities course helps students cultivate critical, personally enriching and widely applicable skills, and it immerses them in the exploration of perspectives, ideas and modes of thought ...

ABSTRACT: The increasing complexity of urban infrastructure and mobility has driven the need for new technologies to monitor traffic efficiently in urban settings. Automated monitoring systems ...