Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Deep In-memory Architectures for Machine Learning - Mingu Kang

Deep In-memory Architectures for Machine Learning

By: Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag

eText | 30 January 2020

At a Glance

eText

$99.00

or 4 interest-free payments of $24.75 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.

on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionEngineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringCircuits & ComponentsEnergy Technology & EngineeringElectrical EngineeringComputing & I.T.Computer ScienceComputer Architecture & Logic DesignReference, Information & Interdisciplinary SubjectsResearch & Information
Information theoryCybernetics & Systems TheoryLibrary & Info SciencesLibrary & Information Services

Other Editions and Formats

Paperback

Published: 31st January 2021

View Product

More in Circuits & Components

This product is categorised by