Abstract: Analog in-memory computing is a next-generation computing paradigm that promises fast, parallel, and energy-efficient deep learning training and transfer learning (TL). However, achieving ...
Abstract: The performance of artificial neural networks heavily depends on the optimization of network parameters, specifically weights and biases, during the ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
A study of recent electoral cycles in Romania, Bulgaria and Kosovo shows what can happen when algorithms are allowed to hack democracy. This new ‘TikTokcracy’ must not go unchallenged. In December ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback