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Sensors | Free Full-Text | Quantization and Deployment of Deep Neural Networks on Microcontrollers

Embedding Artificial Intelligence onto low-power devices is a challenging task that has been partly overcome with recent advances in machine learning and hardware design. Presently, deep neural networks can be deployed on embedded targets to perform different tasks such as speech recognition, object detection or Human Activity Recognition. However, there is still room for optimization of deep neural networks onto embedded devices. These optimizations mainly address power consumption, memory and real-time constraints, but also an easier deployment at the edge. Moreover, there is still a need for a better understanding of what can be achieved for different use cases. This work focuses on quantization and deployment of deep neural networks onto low-power 32-bit microcontrollers. The quantization methods, relevant in the context of an embedded execution onto a microcontroller, are first outlined. Then, a new framework for end-to-end deep neural networks training, quantization and deploymen ....

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A Multifaceted Enigma: Debaprasad Badajena

A Multifaceted Enigma: Debaprasad Badajena
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quintessence of a campus personality. Holding myriads of responsibilities such as the
Convenor of Innovision-2019, Secretary at DBA Hall of Residence and representing the institute at various competitions, his work ethics made him a rare gem and a perfect role model for all those who admire him.
Debaprasad has interned at the prestigious
ISI Kolkata, American Express and finally, has bagged a coveted job at
TATA Digital.
Team MM met with Debaprasad Badajena over an online video call along with his close companions and discussed his voyage of 4 years at NIT Rourkela. The following is an excerpt from his interview: ....

United States , India General , West Bengal , Ayush Pradhan , Paulo Coelho , Debaprasad Badajena , Rahul Dravid , Department Of Electronics , Application Development , American Express , Demonstration Multipurpose School , Mother Public School , Placement Committee , Engineering Department , Public School , Were Electronics , Instrumentation Engineering , Food Process , Computer Science Engineering , Data Science , Dekho Market , Machine Learning , Competitive Coding , Monday Morning , American Expres , Best Coordinator ,