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Advances in nonlinear elliptic and parabolic pdes
Advances in nonlinear elliptic and parabolic pdes

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hardware design

Circuits and Systems for Efficient Machine Learning and Artificial Intelligence

Wed, Jul 17 2024

Research

artificial intelligence machine learning hardware design

Machine Learning (ML) and Artificial Intelligence (AI) applications require the use of more and more advanced algorithms for extracting meaningful information from increasingly (and sometimes incredibly) large sets of data. While the algorithmic part has recently seen significant advances (as for instance through the adoption of Deep or Convolutional Neural Networks), it sometimes comes at the cost of high computational complexity which hinders their straightforward implementability. This activity aims at advancing in this direction by: proposing architectures to reduce the computational cost

Advances in nonlinear elliptic and parabolic pdes (NLPDES)

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