University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.

As schools and universities take varying stances on AI, some teachers believe the tech can democratize tutoring. Here's how - and where the drawbacks lie.

A new Chrome Platform Status entry shows Google working on Global Privacy Control support, aligning the browser with ...

traiNNer-redux is a deep learning training framework for image super resolution and restoration which allows you to train PyTorch models for upscaling and restoring images and videos. NVIDIA graphics ...

Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

The Center for American Progress’ data dashboard allows users to explore national- and state-level data trends on a range of child care and early learning topics. Read more and explore additional ...

Abstract: Federated Machine Learning (FL) can be used effectively in distributed datasets, where data owners hesitate to share their raw data, as a reliable approach to train an ML algorithm. However, ...

Abstract: The non-adaptive management of traffic lights has proven inefficient for a number of drawbacks. They mainly impinge on CO2 emissions, fuel consumption, traffic waiting time, and heavy ...