Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new neural-network architecture developed ...
Neural Architecture Search (NAS) is an emerging area focused on automating the design of neural network architectures. The overarching goal of NAS research is to discover optimal network architectures ...
Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
NAS methods can generally be classified based on tailored designs from the following aspects: search space, search strategy, and evaluation strategy. In particular, search space can be further ...
A technical paper titled “HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms” was published by researchers at Yale University. “Today, ...
A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke University. “Deep neural network (DNN) inference on power-constrained edge ...
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