Submit a Post Call for Book Chapters: VLSI & Hardware Implementations Using Modern Machine Learning Methods: Submit by Nov 10 - Noticebard

Call for Book Chapters: VLSI & Hardware Implementations Using Modern Machine Learning Methods: Submit by Nov 10

Share on facebook
Facebook
Share on twitter
Twitter
Share on whatsapp
WhatsApp
Share on linkedin
LinkedIn
Share on email
Email
About the Book

IC design and fabrication has been following Moore’s law and being developed as a faster and smaller product in every next generation. With the limitation on the technology size, the progress is stalled and alternate methods are being explored to keep up the progress in this field. Machine learning based solutions are appearing as a good alternative for resolving these issues.

Today machine learning based models and architectures are being employed in VLSI design, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. The book contains chapters on case studies as well as novel research ideas in the given field.

Call for Book Chapters
  • Modern Machine learning methods for VLSI applications
  • VLSI Implementation of Deep Neural Network
  • Spike-driven synaptic plasticity theory, simulation and VLSI implementation
  • Machine Learning methods for Hardware Security
  • Machine Learning approaches for FPGA implementation
  • Image Processing with FPGA implementation
  • Hardware based Sign Language Recognition
  • Machine learning implementation on FPGA using partial reconfiguration
  • Hardware based framework for accelerating statistical machine learning
  • SRAM computation-in-memory macro for multiple-bit CNN-based machine learning
  • Machine Learning methods for IC testing
  • Machine learning approaches for yield management in semiconductor manufacturing
  • Machine learning systems for intelligent services in the IoT
  • Machine learning methods for hardware performance optimization
  • System on Chip design using machine learning
  • Machine learning for chip fabrication
  • Future directions for machine learning based hardware systems
  • Other relevant topics
Important dates
Event Date
Abstract Submission 10th November 2020
Abstract Notification 15th November 2020
Full Chapter Submission 15th December 2020
Revision Notification 31st December 2020
Final Submission 25th January 2021
Submission

Interested candidates can read the template here. And can submit the abstract by email to sandeep.saini[at]lnmiit.ac.in, kusum[at]lnmiit.ac.in and gr_sinha[at]miit.edu.mm.

Contact

Sandeep Saini
Email: sandeep.saini[at]lnmiit.ac.in

Dr Kusum Lata
Email: kusum[at]lnmiit.ac.in

Call for Book Chapters: VLSI & Hardware Implementations Using Modern ML Methods.

 

 

 

Disclaimer : We try to ensure that the information we post on Noticebard.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.

Share on facebook
Facebook
Share on twitter
Twitter
Share on whatsapp
WhatsApp
Share on linkedin
LinkedIn
Share on email
Email

Leave a Comment

x