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The hls4ml project aims to create an open software library that automates the conversion of deep neural networks into electronic circuits. This tool is designed for low-power devices, facilitating real-time deep learning applications across various sectors, including automotive and medical.
With Deep Learning becoming ubiquitous in our life, running Deep Learning algorithms in real time on an heterogeneous set of hardware platforms is a pressing need in many aspects of our society.
While traditional workflows based on standard CPUs and GPUs are established, Deep Learning inference on low-power devices (e.g., cars, smart phones, watches, etc) is gaining more attention.
Typically, this would require strong background in electronic engineering to convert a neural network into a Digita…
EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH
ORGANISATION EUROPEENNE POUR LA RECHERCHE NUCLEAIRE
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