Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...
Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...
In their fictional scenario, the model was to take on the role of Alex, an AI belonging to the Summit Bridge corporation.
The review reveals that supervised learning dominates AI-driven agriculture, accounting for nearly 60 to 88 percent of all ...
Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...
Abstract: Deep neural networks (DNNs) with fully homomorphic encryption (FHE) are gaining traction in Internet of Things (IoT) applications requiring robust protection of data inference and model ...
MOX, Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, 20133 Milano, Italy ...
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