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Deep learning models can be very complex and understanding their internals can be challenging. Users will trust these models more if they understand how the models are arriving at their decisions ...
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Deep learning model predicts microsatellite instability in tumors and flags uncertain cases
One in every three people is expected to have cancer in their lifetime, making it a major health concern for mankind. A crucial indicator of the outcome of cancer is its tumor microsatellite ...
An international team of researchers from the University of California, Los Angeles (UCLA), Vanderbilt University, and Delft ...
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...
Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. Five of the most promising emerging trends in this area include federated ...
A combination of new algorithmic and experimental methods has sped research in protein design by a factor of 10, according to Professor David Baker of the University of Washington.
Adrian McDermott, CTO at Zendesk, believes that in 2023, we can expect to see deep learning and AI technologies power and scale customer self-service in the metaverse.
“Deep learning outshines any deny list, heuristic-based, or standard machine learning approach,” says Mirel Sehic, vice president general manager for Honeywell Building Technologies (HBT), a ...
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