Results for 'Sharad Chitlangia'

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  1. Widening Access to Applied Machine Learning With TinyML.Vijay Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Lara Suzuki, Anant Agarwal, Colby Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart & Dustin Tingley - 2022 - Harvard Data Science Review 4 (1).
    Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...)
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  2. Albert Camus and Indian thought.Sharad Chandra - 1989 - New Delhi, India: National Pub. House.
    The theme of essential futility, absurdity, utter incomprehensibility of life and death is stressed in almost allthe writings of Albert Camus. Like Buddha he was shocked by the sight of human misery and mortality. Yet, paradoxically was attracted to the essential desirability of it. Although completely ruffled by the consciousness of an ambiguous and silent God, he was not unaware of “that strange joy that comes from a tranquil conscience”, a perfect inner harmony one experiences on attaining true knowledge. Upanishads (...)
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    A Survey on High Capacity Reversible Data Hiding in Encrypted Images.Himani Wadnere Rutuja Sharad Warule - 2019 - International Journal of Innovative Research in Science, Engineering and Technology 8 (5):5501-5503.
    Conventional visual secret sharing (VSS) schemes hide secret images in shares that are either printed on transparencies or are encoded and stored in a digital form. The shares can appear as noise-like pixels or as meaningful images; but it will arouse suspicion and increase interception risk during transmission of the shares. Hence, VSS schemes suffer from a transmission risk problem for the secret itself and for the participants who are involved in the VSS scheme. To address this problem, we proposed (...)
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