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David O. added photos to project iOty

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iOty

Nowadays, the training phase of AI -- which is highly compute-intensive -- is being increasingly sped up by cloud computing. However, communicating with the cloud introduces latency during AI inference phase, which leads to poor performance for applications requiring 'hard' real-time responses from an on-premise location. We define "hard real-time" as a microsecond timescale, end-to-end, for a single batch of data communication and data processing. We propose iOty, a distributed architecture for accelerated DNNs on the edge. The main objective of the iOty project is to design and build an AI software and hardware system with real-time inference capabilities for edge applications that exhibit high-speed, massive dataset characteristics wherein communicating with the cloud directly would be impractical or too expensive.

Github: https://github.com/davenso/edgenn

15934164 1204653962936463 1111344975 o

David O. added photos to project iOty

Medium c7153c70 d6a9 43d0 aa76 2a418294a2b0

iOty

Nowadays, the training phase of AI -- which is highly compute-intensive -- is being increasingly sped up by cloud computing. However, communicating with the cloud introduces latency during AI inference phase, which leads to poor performance for applications requiring 'hard' real-time responses from an on-premise location. We define "hard real-time" as a microsecond timescale, end-to-end, for a single batch of data communication and data processing. We propose iOty, a distributed architecture for accelerated DNNs on the edge. The main objective of the iOty project is to design and build an AI software and hardware system with real-time inference capabilities for edge applications that exhibit high-speed, massive dataset characteristics wherein communicating with the cloud directly would be impractical or too expensive.

Github: https://github.com/davenso/edgenn

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iOty

Thumb 15934164 1204653962936463 1111344975 o David Ojika

Created: 09/06/2017

iOty is a project that implements DNN on the edge for faster inference compared to a cloud-only a...

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I was involved in various projects. Among others, these were dealing with Grid Computing, People Tracking, Object Recognition, Face Recognition, as well as with several theses in the field of Computer Vision. Subsequently, I was following my passion for "Creative Coding" and "Real-time Interaction", and founded CtrlAltLab. This is an interactive real-time application project geared to augmented reality and virtual reality. It was realized at the Science Museum of Naples, where the project was selected as the most innovative idea to "Italian Kiics Awards for Art & Science" in 2014.

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