For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

A deep learning framework enhances personalized advertising by combining reinforcement learning, sentiment analysis, and user behavior ...

In the recent past, you probably attended a virtual lunch-and-learn presentation, read an article, or had a discussion with a controls sales representative in which the topic was a chilled water plant ...

Deep learning-based contouring of multiple brain metastases eases clinical workload when planning stereotactic radiosurgery ...

Researchers have created tools to get us closer to predicting earthquakes, but Caltech’s Egill Hauksson says that in this field, putting research into practice can be a challenge. Contrary to what you ...

To solve this problem, we introduce a deep learning-based 2D+3D vehicle paint surface appearance defect detection solution. By installing 2D/3D detection sensors on robots, we achieve comprehensive ...

A key advantage of a newly developed deep learning model based on mammogram images is that it doesn’t require additional ...