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Efficient and Scalable Tiny Machine Learning

Machine learning (ML) has revolutionized computing, but for ML to become fully ubiquitous, it must be deployed on the billions of ultra-low-power sensing devices that already permeate society. This requires extreme levels of efficiency that are typically achieved through expensive specialization and optimization; however, this is impractical given the ...
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Tiny Machine Learning for Real-Time Postural Stability Analysis

2023 IEEE Sensors Applications Symposium (SAS), 2023
Veysi Adin   +4 more
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A Tiny Machine Learning Approach to the Edge Localization of Acoustic Sources via Convolutional Neural Networks

Lecture Notes in Networks and Systems, 2023
Luca De Marchi   +2 more
exaly  

On the Design of an Inference Circuit for Tiny Machine Learning

2024 Symposium on Internet of Things (SIoT)
Thiago H. Dos Santos   +2 more
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Deep and Wide Tiny Machine Learning

SpringerBriefs in Applied Sciences and Technology, 2023
Simone Disabato
exaly  

Virtual Learning Machine for Tiny Devices

Nozomi Kitagawa, Koichiro Yamauchi 0001
openaire   +1 more source

Tiny Machine Learning for Efficient Channel Selection in LoRaWAN

IEEE Internet of Things Journal
Muhammad Ali Lodhi   +6 more
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Accurate Energy Measurements for Tiny Machine Learning Workloads

2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Pasquale Arpaia   +9 more
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