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"Certain relationships don't have any name. They sprout from nowhere and disappear somewhere" Ashwini and Vikram had become more than just friends. Life moved on and Ashwini matured over time realizing that the responsibilities and problems one had to shoulder were much beyond the four walls of college. As time came for her engagement, Vikram not only disappeared from the scene but neither did he get in touch with her ever. What was in Vikram's mind when he was with her all the while? Did he really care for Ashwini or was it just a false hallucination? Thanking You with Love... will hold the reader till the last page when Ashwini discovers a shocking truth after six years upon returning to her hometown.
The rapid growth in big data from mobile, Internet of things (IoT), and edge devices, and the continued demand for higher computing power, have established deep learning as the cornerstone of most artificial intelligence (AI) applications today. Recent years have seen a push towards deep learning implemented on domain-specific AI accelerators that support custom memory hierarchies, variable precision, and optimized matrix multiplication. Commercial AI accelerators have shown superior energy and footprint efficiency compared to GPUs for a variety of inference tasks. In this monograph, roadblocks that need to be understood and analyzed to ensure functional robustness in emerging AI accelerators are discussed. State-of-the-art practices adopted for structural and functional testing of the accelerators are presented, as well as methodologies for assessing the functional criticality of hardware faults in AI accelerators for reducing the test time by targeting the functionally critical faults. This monograph highlights recent research on efforts to improve test and reliability of neuromorphic computing systems built using non-volatile memory (NVM) devices like spin-transfer-torque (STT-MRAM) and resistive RAM (ReRAM) devices. Also are the robustness of silicon-photonic neural networks and the reliability concerns with manufacturing defects and process variations in monolithic 3D (M3D) based near-memory computing systems.
These are poems that have been created out of the material of love. Love is, in all ways, a force that destroys. And since in destruction, as the Tantra says, are the seeds of creation, therefore love also births, and profoundly so. Poems such as these must be read without reserve and with empathy.Dr. S. N. Dev (PhD, Oxon.)Arjun Choudhuri is a poet and translator. He lives in Assam in Northeast India, where he teaches English literature at Gurucharan College, Silchar, and is curator for both the Anuvad Festival For the Arts and Humanities (Assam's first indie arts/lit festival) and The Northeast India Company (an indie arts collective). He has published six previous books of poetry: In the House Next Door (2006, Writers Workshop, Kolkata), The River Roads (2009, Wordsmith, Kolkata), Bordering Poetry: An Anthology of Translated Poetry from Barak Valley (2010, Vyatikram, Guwahati), Ajobithi and Other Poems: Translations (2009, Utsa Prakashani, Dhaka), Metrophobia (2012, Aquarius Publishing, USA) and Rain Tree Deity (2014, Editions du Zaporogue, Aarhus). He lives with his mother and sister in his ancestral home, where he occasionally dabbles in digital art and street photography and avidly collects ritual texts and icons relating to the Mahayana/Vajrayana doctrines and the Hindu Tantras.
Emotion and Reason in Consumer Behavior provides new insights into the effects that emotion and rational thought have on marketing outcomes. It uses sound academic research at a level students and professionals can understand.
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