hls4ml
PulseAugur coverage of hls4ml — every cluster mentioning hls4ml across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New hls4ml backend enables ML on radiation-hard FPGAs for physics experiments
Researchers have developed a new backend for the hls4ml tool, enabling the use of machine learning models on radiation-hard FPGAs. This advancement is demonstrated through a lightweight autoencoder designed for the Pico…
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AI detector for superconducting qubit charge jumps achieves real-time control
Researchers have developed a novel online detector for charge jumps in superconducting qubits, utilizing a dilated causal convolutional neural network (DCCNN). This new method, deployable on the Quantum Instrumentation …
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hls4ml extended for Spiking Neural Network deployment on FPGAs
Researchers have developed an extension for the hls4ml toolkit to enable the deployment of Spiking Neural Networks (SNNs) on Field-Programmable Gate Arrays (FPGAs). This new capability allows for clock-driven inference …
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SNAC-Pack automates neural architecture search for FPGAs
Researchers have developed SNAC-Pack, an open-source framework designed to automate the process of neural architecture search (NAS) specifically for FPGAs. This package addresses the limitations of existing NAS methods …
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New SNAC-Pack automates neural architecture co-design for FPGAs
Researchers have developed SNAC-Pack, an open-source framework designed to automate the co-design of neural architectures and their deployment on FPGAs. This package employs a multi-objective global search strategy comb…
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New HGQ-LUT and da4ml methods speed up DNN training and FPGA deployment
Researchers have developed HGQ-LUT, a new method for training lookup-table (LUT) based neural networks that significantly speeds up the training process, making it over 100 times faster on modern GPUs. This approach int…