Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...
Tech Xplore on MSN
Making simulations more accurate than ever with deep learning
Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A ...
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
A deep learning model has identified an imaging biomarker of chronic stress, according to a study to be presented at the ...
GE HealthCare's Pristina Recon DL technology uses deep learning models for sharper breast imaging with fewer artifacts and ...
A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning–based approach that significantly accelerates the ...
Using a deep learning AI model, researchers identified the first-of-its-kind biomarker of chronic stress detectable through ...
Tech Xplore on MSN
Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...
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