Search Results - "Rutishauser, Georg"

Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems by Moosmann, Julian, Muller, Hanna, Zimmerman, Nicky, Rutishauser, Georg, Benini, Luca, Magno, Michele

“…This paper deploys and explores variants of TinyissimoYOLO, a highly flexible and fully quantized ultra-lightweight object detection network designed for edge…”
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CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency by Scherer, Moritz, Rutishauser, Georg, Cavigelli, Lukas, Benini, Luca

“…We present a 3.1 POp/s/W fully digital hardware accelerator for ternary neural networks (TNNs). CUTIE, the completely unrolled ternary inference engine,…”
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EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators by Cavigelli, Lukas, Rutishauser, Georg, Benini, Luca

“…In the wake of the success of convolutional neural networks in image classification, object recognition, speech recognition, etc., the demand for deploying…”
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7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks by Rutishauser, Georg, Scherer, Moritz, Fischer, Tim, Benini, Luca

“…Dynamic vision sensor (DVS) cameras enable energy-activity proportional visual sensing by only propagating events produced by changes in the observed scene…”
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Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2-8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing by Conti, Francesco, Paulin, Gianna, Garofalo, Angelo, Rossi, Davide, Di Mauro, Alfio, Rutishauser, Georg, Ottavi, Gianmarco, Eggiman, Manuel, Okuhara, Hayate, Benini, Luca

“…Emerging artificial intelligence-enabled Internet-of-Things (AI-IoT) system-on-chip (SoC) for augmented reality, personalized healthcare, and nanorobotics need…”
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TCN-CUTIE: A 1,036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology by Scherer, Moritz, Mauro, Alfio Di, Fischer, Tim, Rutishauser, Georg, Benini, Luca

“…Tiny machine learning (TinyML) applications impose µJ/inference constraints, with a maximum power consumption of tens of megawatt. It is extremely challenging…”
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Ternarized TCN for \mu \mathrm/\text Gesture Recognition from DVS Event Frames by Rutishauser, Georg, Scherer, Moritz, Fischer, Tim, Benini, Luca

“…Dynamic Vision Sensors (DVS) offer the opportunity to scale the energy consumption in image acquisition proportionally to the activity in the captured scene by…”
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ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications by Rutishauser, Georg, Hunziker, Robin, Di Mauro, Alfio, Bian, Sizhen, Benini, Luca, Magno, Michele

“…End-to-end event-based computation has the poten-tial to push the envelope in latency and energy efficiency for edge AI applications. Unfortunately,…”
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Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge by Rutishauser, Georg, Conti, Francesco, Benini, Luca

“…Mixed-precision quantization, where a deep neural network's layers are quantized to different precisions, offers the opportunity to optimize the trade-offs…”
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Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge by Rutishauser, Georg, Conti, Francesco, Benini, Luca

“…Mixed-precision quantization, where a deep neural network's layers are quantized to different precisions, offers the opportunity to optimize the trade-offs…”
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xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems by Rutishauser, Georg, Mihali, Joan, Scherer, Moritz, Bonini, Luca

“…Ternary neural networks (TNNs) offer a superior accuracy-energy tradeoff compared to binary neural networks. However, until now, they have required specialized…”
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xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems by Rutishauser, Georg, Mihali, Joan, Scherer, Moritz, Benini, Luca

“…Ternary neural networks (TNNs) offer a superior accuracy-energy trade-off compared to binary neural networks. However, until now, they have required…”
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Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs by Lamberti, Lorenzo, Rutishauser, Georg, Conti, Francesco, Benini, Luca

“…A critical challenge in deploying unmanned aerial vehicles (UAVs) for autonomous tasks is their ability to navigate in an unknown environment. This paper…”
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A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications by Scherer, Moritz, Di Mauro, Alfio, Rutishauser, Georg, Fischer, Tim, Benini, Luca

“…Tiny Machine Learning (TinyML) applications impose μJ/Inference constraints, with maximum power consumption of a few tens of mW. It is extremely challenging to…”
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A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks by Nadalini, Alessandro, Rutishauser, Georg, Burrello, Alessio, Bruschi, Nazareno, Garofalo, Angelo, Benini, Luca, Conti, Francesco, Rossi, Davide

“…The emerging trend of deploying complex algorithms, such as Deep Neural networks (DNNs), increasingly poses strict memory and energy efficiency requirements on…”
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Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems by Moosmann, Julian, Mueller, Hanna, Zimmerman, Nicky, Rutishauser, Georg, Benini, Luca, Magno, Michele

“…This paper deploys and explores variants of TinyissimoYOLO, a highly flexible and fully quantized ultra-lightweight object detection network designed for edge…”
Get full text

A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks by Nadalini, Alessandro, Rutishauser, Georg, Burrello, Alessio, Bruschi, Nazareno, Garofalo, Angelo, Benini, Luca, Conti, Francesco, Rossi, Davide

“…The emerging trend of deploying complex algorithms, such as Deep Neural Networks (DNNs), increasingly poses strict memory and energy efficiency requirements on…”
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ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras by Bian, Sizhen, Schulthess, Lukas, Rutishauser, Georg, Di Mauro, Alfio, Benini, Luca, Magno, Michele

“…The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehicles (UAV) is raising, especially due to the microsecond-level reaction time of the…”
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ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications by Rutishauser, Georg, Hunziker, Robin, Di Mauro, Alfio, Bian, Sizhen, Benini, Luca, Magno, Michele

“…End-to-end event-based computation has the potential to push the envelope in latency and energy efficiency for edge AI applications. Unfortunately, event-based…”
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EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators by Cavigelli, Lukas, Rutishauser, Georg, Benini, Luca

“…In the wake of the success of convolutional neural networks in image classification, object recognition, speech recognition, etc., the demand for deploying…”
Get full text