Thomas Mulligan investigates how advanced machine learning algorithms are revolutionizing our ability to detect and map distant worlds orbiting far-off stars. Supreme Court TPS ruling opens hundreds ...
Handheld imaging device combines advanced optics with deep learning to enable early detection of epithelial cancers ...
The Smithsonian will debut “Smithsonian Dreams,” a large-scale, multisensory public art experience by Refik Anadol, internationally acclaimed media artist and director of Refik Anadol Studio, on the ...
Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
For more than twenty years, researchers at the University of Amsterdam, the Royal Netherlands Air Force and KNMI have used ...
The 53rd annual conference presents peer-reviewed breakthroughs in simulation, vectorization, and physics modeling across ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Abstract: Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature ...
Abstract: Intelligent Transportation Systems (ITS) and autonomous vehicles (AVs) are two fast-moving research fields. Understanding the surroundings and acting quickly is essential for AV control, ...
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