Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

Researchers have found a new approach to finding shortest paths, but it's complex Systems Approach Last year a couple of people forwarded to me the same article on a new method of finding shortest ...

Coding can help students understand the building blocks of world languages, and it provides an authentic way to tell stories.

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Tech companies have touted scientific findings from AI systems. But can they truly produce bona fide advancements?

The latest round of strategic seed funding is propelling innovations in imaging, brain health, autoimmune therapies, and more ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...