cosors
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In 2019 Arpan Pal the head of the research group at Tata Consulting Services that has been researching AKD1000 published an interesting paper titled ‘Using Ai on IoT Sensor Data for predicting health of man and machine.’
Dr. Arpan Pal will be presenting on the following topics at the 30th IEEE International Conference on Image Processing in Kuala Lumpur on 8-11 October:
"IES #5
Title: Low Power Image Processing on Constrained Devices Using Tiny ML and Neuromorphic Approach
Speaker: Arpan Pal, TCS Research, Tata Consultancy Services, India
Abstract: More and more of IoT based intelligent systems demand embedding the analytics and AI on the edge device. This is driven by the needs of low latency, network unavailability/unreliability and a need for inherent privacy/security. However, edge devices are usually constrained in terms of compute, memory and power which poses challenges for such deployments.
In this presentation we will first introduce a Tiny Edge Wizard that can take large Deep Neural Network models and try to reduce their size / improve their latency automatically using an innovative integrated approach that uses both reduction using pruning using Lottery Ticket Hypothesis (LTH) [1] and synthesis using Neural Architecture Search (NAS) [2]. The automation helps in reducing development time, helps reducing over-parameterised models and minimises the human-expert time. We will take example use cases of medical image processing and manufacturing shop-floor inspection to demonstrate the efficacy of our proposed system.
Next we will introduce Neuromorphic Computing and Spiking Neural Networks (SNN) as a means towards ultra-low power intelligent processing at edge. We cover design and implementation of both efficient spike encoders and spiking neural models on neuromorphic chipsets. We will present application use cases around gesture recognition for human-robot interaction [3] and lossless image compression onboard nano satellites [4] and present some interesting results.
Finally we will conclude with technology trends we see in this area that also relates to sustainable analytics to negate the ever-increasing energy consumption trends in computation." Hear ye!
https://2023.ieeeicip.org/industry-expert-sessions/
@Frangipani
(Even though the article [3] probably refers to IBM)
[3] Arun M. George, Dighanchal Banerjee, Sounak Dey, Arijit Mukherjee and P. Balamurali, “A Reservoir-based Convolutional Spiking Neural Network for Gesture Recognition from DVS Input,” International Joint Conference on Neural Networks (IJCNN), 2020
[4] Sayan Kahali, Sounak Dey, Chetan S. Kadway, Arijit Mukherjee, Arpan Pal and Manan Suri, “Low-Power Lossless Image Compression on Small Satellite Edge Using Spiking Neural Network,” International Joint Conference on Neural Networks (IJCNN), 2023
I remember
here also Dr. Arpan Pal
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-371567
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