Renowned Bhavageethe singer Smt Mangala Ravi performs ‘koLalanuuduvanaare geLati’ in her melodious voice. Artist Shashank Rao accompanies her with live painting using Indian Ink and strings. Music by Sri Upasana Mohan 136th “maneyangaLadalli kavithaagaayana” music program.
13th Jan 2018 | Bengaluru
Shashank
Painting with strings – 2018 (a)
Renowned Bhavageethe singer Smt Radhika Sanath performs ‘devalokadinda banda paarijaatave’ in her melodious voice. Artist Shashank Rao accompanies her with live painting using Indian Ink and strings. Music by Sri Upasana Mohan 136th “maneyangaLadalli kavithaagaayana” music program.
13th Jan 2018 | Bengaluru
Painting with strings – 2021
Fine art performance with strings and India ink by Shashank Rao | November 2021 | Music by Sri Anoop Sankar.
Disclaimer: I do not own copyrights to the background music.
Publications – 2022
Paper: “Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review”
Link: arxiv
Author(s): Shashank Bangalore Lakshman and Nasir Eisty
Conference Workshop: 4th International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT 2022); Co-located with ICSE 2022;
Date and Location: May 10, 2022, Pittsburgh, USA
Abstract: Internet of Things (IoT) has catapulted human ability to control our environments through ubiquitous sensing, communication, computation, and actuation. Over the past few years, IoT has joined forces with Machine Learning (ML) to embed deep intelligence at the far edge. TinyML (Tiny Machine Learning) has enabled the deployment of ML models for embedded vision on extremely lean edge hardware, bringing the power of IoT and ML together. However, TinyML powered embedded vision applications are still in a nascent stage, and they are just starting to scale to widespread real-world IoT deployment. To harness the true potential of IoT and ML, it is necessary to provide product developers with robust, easy-to-use software engineering (SE) frameworks and best practices that are customized for the unique challenges faced in TinyML engineering. Through this systematic literature review, we aggregated the key challenges reported by TinyML developers and identified state-of-art SE approaches in large-scale Computer Vision, Machine Learning, and Embedded Systems that can help address key challenges in TinyML based IoT embedded vision. In summary, our study draws synergies between SE expertise that embedded systems developers and ML developers have independently developed to help address the unique challenges in the engineering of TinyML based IoT embedded vision.
“Cottage By The Lighthouse”
“Cottage By The Lighthouse” – Digital painting with Procreate app (iPad)