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Resource-Efficient Artificial Intelligence (Probabilistic Machine Learning on Ultra-Low-Power Systems)
List Price:
$95.99
| Expected release date is Feb 3rd 2028 |
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Product Details
Author:
Nico Piatkowski
Format:
Paperback
Pages:
360
Publisher:
De Gruyter (February 3, 2028)
Imprint:
De Gruyter
Release Date:
February 3, 2028
Language:
English
Audience:
College/higher education
ISBN-13:
9783110721058
ISBN-10:
3110721058
Weight:
16oz
Dimensions:
6.69" x 9.45"
File:
TWO RIVERS-PERSEUS-Perseus_Distribution_Customer_Group_Metadata_20260322181037-20260322.xml
Folder:
TWO RIVERS
List Price:
$95.99
Country of Origin:
Germany
Pub Discount:
60
Series:
De Gruyter Textbook
As low as:
$82.55
Publisher Identifier:
P-PER
Discount Code:
C
Overview
For all autonomous devices the development of resource-aware machine learning techniques is required to reduce the tremendous resource consumption. This work provides theoretical and practical building blocks to bring full-fledged machine learning pipelines to systems with very low computational power or highly restricted energy supply. The presentation of theoretical methods is accompanied by actual learning results on ultra-low-power hardware.
