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Research Team from Tsinghua University's Department of Electronic Engineering Makes New Headway in Neural Network Acceleration Research Using Innovative Ferroelectric Devices
3 week ago /
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Author：小编
On September 8, it was noted that deep neural networks have attained remarkable breakthroughs across numerous fields. Nevertheless, their growing appetite for data and computing power has also become a pressing concern. Especially in the realm of the Internet of Things (IoT) and edge devices, traditional neural networks face challenges in swiftly adjusting to new tasks when there is a scarcity of samples. Moreover, retraining models incurs significant computational and energy expenses.
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