Search Results - "Mauro, Alfio Di"

Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode by Rossi, Davide, Conti, Francesco, Eggiman, Manuel, Mauro, Alfio Di, Tagliavini, Giuseppe, Mach, Stefan, Guermandi, Marco, Pullini, Antonio, Loi, Igor, Chen, Jie, Flamand, Eric, Benini, Luca

“…The Internet-of-Things (IoT) requires endnodes with ultra-low-power always-on capability for a long battery lifetime, as well as high performance, energy…”
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Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine by Prasad, Arpan Suravi, Scherer, Moritz, Conti, Francesco, Rossi, Davide, Di Mauro, Alfio, Eggimann, Manuel, Gomez, Jorge Tomas, Li, Ziyun, Sarwar, Syed Shakib, Wang, Zhao, De Salvo, Barbara, Benini, Luca

“…Extended reality (XR) applications are machine learning (ML)-intensive, featuring deep neural networks (DNNs) with millions of weights, tightly latency-bound…”
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Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS by Scherer, Moritz, Eggimann, Manuel, Mauro, Alfio Di, Prasad, Arpan Suravi, Conti, Francesco, Rossi, Davide, Gomez, Jorge Tomas, Li, Ziyun, Sarwar, Syed Shakib, Wang, Zhao, Salvo, Barbara De, Benini, Luca

“…Extended Reality (XR) has become increasingly popular in recent years, with applications in entertainment, education, healthcare, and more. However, mass…”
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Idleness-Aware Dynamic Power Mode Selection on the i.MX 7ULP IoT Edge Processor by Di Mauro, Alfio, Fatemi, Hamed, de Gyvez, Jose Pineda, Benini, Luca

“…Power management is a crucial concern in micro-controller platforms for the Internet of Things (IoT) edge. Many applications present a variable and difficult…”
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Always-On 674μ W@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node by Mauro, Alfio Di, Conti, Francesco, Schiavone, Pasquale Davide, Rossi, Davide, Benini, Luca

“…Binary Neural Networks (BNNs) have been shown to be robust to random bit-level noise, making aggressive voltage scaling attractive as a power-saving technique…”
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Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode by Ottavi, Gianmarco, Garofalo, Angelo, Tagliavini, Giuseppe, Conti, Francesco, Mauro, Alfio Di, Benini, Luca, Rossi, Davide

“…Computationally intensive algorithms such as Deep Neural Networks (DNNs) are becoming killer applications for edge devices. Porting heavily data-parallel…”
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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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Arnold: An eFPGA-Augmented RISC-V SoC for Flexible and Low-Power IoT End Nodes by Schiavone, Pasquale Davide, Rossi, Davide, Di Mauro, Alfio, Gurkaynak, Frank K., Saxe, Timothy, Wang, Mao, Yap, Ket Chong, Benini, Luca

“…A wide range of Internet of Things (IoT) applications require powerful, energy-efficient, and flexible end nodes to acquire data from multiple sources, process…”
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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, Mauro, Alfio Di, 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 poten-tial to push the envelope in latency and energy efficiency for edge AI applications. Unfortunately,…”
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An Energy-Efficient Low-Voltage Swing Transceiver for mW-Range IoT End-Nodes by Okuhara, Hayate, Elnaqib, Ahmed, Rossi, Davide, Di Mauro, Alfio, Mayer, Philipp, Palestri, Pierpaolo, Benini, Luca

“…As the Internet-of-Things (IoT) applications become more and more pervasive, IoT end nodes are requiring more and more computational power within a few mW of…”
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22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing by Conti, Francesco, Rossi, Davide, Paulin, Gianna, Garofalo, Anaelo, Di Mauro, Alfio, Rutishauer, Georg, Ottavi, Gian marco, Eggimann, Manuel, Okuhara, Hayate, Huard, Vincent, Montfort, Olivier, Jure, Lionel, Exibard, Nils, Gouedo, Pascal, Louvat, Mathieu, Botte, Emmanuel, Benini, Luca

“…Emerging Artificial Intelligence-enabled Internet-of-Things (Al-loT) SoCs [1-4] for augmented reality, personalized healthcare and nano-robotics need to run a…”
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Adsorption of Flavonoids on Resins:  Cyanidin 3-Glucoside by Scordino, Monica, Di Mauro, Alfio, Passerini, Amedeo, Maccarone, Emanuele

“…Adsorption of cyanidin-3-glucoside in aqueous batch solutions was studied at pH 3.5 and 20 °C using 13 commercial resins with different hydrophobicity, surface…”
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Selective Recovery of Anthocyanins and Hydroxycinnamates from a Byproduct of Citrus Processing by Scordino, Monica, Di Mauro, Alfio, Passerini, Amedeo, Maccarone, Emanuele

“…The adsorption−desorption performances of commercial resins (two polystyrene−divinylbenzene copolymers and one methacrylic) were tested in column studies for…”
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Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform by Gruel, Amelie, Mauro, Alfio di, Hunziker, Robin, Benini, Luca, Martinet, Jean, Magno, Michele

“…Neuromorphic computing has been identified as an ideal candidate to exploit the potential of event-based cameras, a promising sensor for embedded computer…”
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Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode by Ottavi, Gianmarco, Garofalo, Angelo, Tagliavini, Giuseppe, Conti, Francesco, Di Mauro, Alfio, Benini, Luca, Rossi, Davide

“…Computationally intensive algorithms such as Deep Neural Networks (DNNs) are becoming killer applications for edge devices. Porting heavily data-parallel…”
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Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing by Conti, Francesco, Paulin, Gianna, Garofalo, Angelo, Rossi, Davide, Di Mauro, Alfio, Rutishauser, Georg, Ottavi, Gianmarco, Eggimann, Manuel, Okuhara, Hayate, Benini, Luca

“…Emerging Artificial Intelligence-enabled Internet-of-Things (AI-IoT) System-on-a-Chip (SoC) for augmented reality, personalized healthcare, and nano-robotics…”
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Waste Water from Citrus Processing as a Source of Hesperidin by Concentration on Styrene−Divinylbenzene Resin by Di Mauro, Alfio, Fallico, Biagio, Passerini, Amedeo, Maccarone, Emanuele

“…This paper describes a procedure for recovering hesperidin from the waste water of orange juice processing, namely, yellow water, by concentration of diluted…”
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An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface by Liao, Jiawei, Widmer, Lars, Wang, Xiaying, Di Mauro, Alfio, Nason-Tomaszewski, Samuel R, Chestek, Cynthia A, Benini, Luca, Jang, Taekwang

“…2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022, pp. 134-137 Brain-machine interfaces (BMIs) are promising…”
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