There’s something profoundly appealing about watching the creation of food and dishes — the centerpieces of our culture and ...
With biometrics, DTCs, standardization and other tools, algorithmic systems are being fully integrated and broadly applied ...
Mathematics undergraduate Caleb Chalmer’s submission was awarded top honors, with reviewers noting “a ghostly quality to it ...
offering novel solutions for spatial transcriptomics and paired pathological images, while contributing to limited research on PDAC slide cell distribution prediction through deep neural networks.
Nikita Belyakov and Svetlana Illarionova, researchers from the Skoltech AI Center, presented a new method for semantic ...
Researchers, led in part by University of Nevada, Reno’s Meet Zandawala, identify specific clock neurons that govern daily ...
Look around, and you'll see it everywhere: the way trees form branches, the way cities divide into neighborhoods, the way the ...
Configural processing enhances robust object recognition by prioritizing spatial relationships, enabling neural networks to generalize effectively across transformations and novel features.
R-708-5p is a stress-regulated microRNA and a potential biomarker for the differential diagnosis of human mood disorders.
A multidisciplinary team of researchers at Georgia Tech has discovered how lateral inhibition helps our brains process visual ...
An organisation set up to distribute academic research to teachers gets off on the wrong foot, and stays there ...