The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.
The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical ...
Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
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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, ...
During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...
This site is available to all users in English. EBU Members can log in to access our website in 20 additional languages as ...
In high-speed optical communications, traditional orbital angular momentum (OAM) multiplexing systems face fundamental limitations, including ...
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