Maily Kocinski grew up in Beaver Dam, Wisconsin, a rural town 70 miles northwest of Milwaukee. She still lives there on a ...
Optimus previewed a freight digital twin that models 350,000 highway nodes to show where disruptions push capacity pressure next. Design partners first.
What if scientists could get a taste of discovery as soon as their experiment finishes? Thanks to a new machine learning tool called DONUT, researchers at the U.S. Department of Energy's (DOE) Argonne ...
AI fraud detection at Navan advanced on August 10, 2026: the business travel platform deployed DataVisor's unsupervised machine learning across travel bookings, corporate cards, and expenses. Unlike ...
Hui He explains why artificial intelligence is fundamentally transforming mathematical work—and why that’s a good thing ...
An AI framework transforms simulated AFM images into experimental-style data, helping machine learning analyze atomic ...
Gilead Sciences uses graph neural networks and graph databases to reveal hidden fraud networks and ensure patient's safety.
The conversation has fundamentally shifted from “Should we use AI?” to “Can we operationalise AI faster and more safely than competitors?” Here are the areas where some of the most meaningful ...
Once united in support of President Trump, right-wing influencers are embroiled in feuds and losing viewers, creating a problem for Republicans in the midterm elections. By Stuart A. Thompson Benny ...
The word “recursion” is the latest buzzword in AI circles. Two separate startups have taken on the name, and many more have started referencing recursive self-improvement (RSI) in their roadmaps. Like ...
Abstract: In recent years, Graph Neural Networks (GNNs) have made significant advances in processing structured data. However, most of them primarily adopted a model-centric approach, which simplifies ...
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