Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Akhil Dodda"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Internet of things (IoT) sensors can collect, store and communicate large volumes of information, which require effective security measures. Here, the authors report the realization of low-power edge sensors based on photosensitive and programmable 2
Externí odkaz:
https://doaj.org/article/53ab3bcf35734573856fc6213725f7b4
Autor:
Akhil Dodda, Aaryan Oberoi, Amritanand Sebastian, Tanushree H. Choudhury, Joan M. Redwing, Saptarshi Das
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Here, the authors take advantage of stochastic resonance in a photodetector based on monolayer MoS2 for measuring otherwise undetectable, ultra-low-intensity, subthreshold optical signals from a distant light emitting diode in the presence of a finit
Externí odkaz:
https://doaj.org/article/92c8b824cad84721ad66e7ae90b0417e
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
Biomimetic audiomorphic functionalities can be implemented in solid-state devices including 2D materials. Here, the authors fabricate a device based on multiple split gates with nano-gaps on a single semiconducting MoS2 channel that captures the neur
Externí odkaz:
https://doaj.org/article/be287b15ca324fb99878242f87f977ad
Autor:
Akhil Dodda, Darsith Jayachandran, Andrew Pannone, Nicholas Trainor, Sergei P. Stepanoff, Megan A. Steves, Shiva Subbulakshmi Radhakrishnan, Saiphaneendra Bachu, Claudio W. Ordonez, Jeffrey R. Shallenberger, Joan M. Redwing, Kenneth L. Knappenberger, Douglas E. Wolfe, Saptarshi Das
Publikováno v:
Nature Materials. 21:1379-1387
Autor:
Akhil Dodda, Darsith Jayachandran, Shiva Subbulakshmi Radhakrishnan, Andrew Pannone, Yikai Zhang, Nicholas Trainor, Joan M. Redwing, Saptarshi Das
Publikováno v:
ACS Nano. 16:20010-20020
Natural intelligence has many dimensions, with some of its most important manifestations being tied to learning about the environment and making behavioral changes. In primates, vision plays a critical role in learning. The underlying biological neur
Autor:
Akhil Dodda, Saptarshi Das
Publikováno v:
ACS Nano. 15:16172-16182
Fast detection of weak signals at low energy expenditure is a challenging but inescapable task for the evolutionary success of animals that survive in resource constrained environments. This task is accomplished by the sensory nervous system by explo
Publikováno v:
ACS nano. 16(12)
In spite of recent advancements in artificial neural networks (ANNs), the energy efficiency, multifunctionality, adaptability, and integrated nature of biological neural networks remain largely unimitated by hardware neuromorphic computing systems. H
Autor:
Akhil Dodda, Darsith Jayachandran, Andrew Pannone, Nicholas Trainor, Sergei Stepanoff, Megan Steves, Shiva Subbulakshmi Radhakrishnan, Saiphaneendra Bachu, Claudio Ordonez, Jeffrey Shallenberger, Joan Redwing, Kenneth Knappenberger, Douglas Wolfe, Saptarshi Das
Development of low-power and smart vision sensors is critical for many emerging applications including the acceleration of edge intelligence. In this article, we introduce an active pixel sensor (APS) technology with in-sensor compute capability base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bef67172187ab1d981a8b981d7e34903
https://doi.org/10.21203/rs.3.rs-1684214/v1
https://doi.org/10.21203/rs.3.rs-1684214/v1
Autor:
Parijat Sengupta, Saptarshi Das, Shiva Subbulakshmi Radhakrishnan, Thomas F. Schranghamer, Drew Buzzell, Akhil Dodda
Publikováno v:
Nature Electronics. 4:364-374
Graphene has a range of properties that makes it suitable for building devices for the Internet of Things. However, the deployment of such devices will also likely require the development of suitable graphene-based hardware security primitives. Here
Publikováno v:
ACS nano. 15(12)
The rapid proliferation of security compromised hardware in today's integrated circuit (IC) supply chain poses a global threat to the reliability of communication, computing, and control systems. While there have been significant advancements in dete