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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.
Price: $95.99
Pages: 360
Publisher: De Gruyter
Imprint: De Gruyter
Series: De Gruyter Textbook
Publication Date:
03 February 2028
ISBN: 9783110721058
Format: Paperback
BISACs:
COMPUTERS / Artificial Intelligence / General, COM000000 COMPUTERS / General, COM032000 COMPUTERS / Information Technology, COM051300 COMPUTERS / Programming / Algorithms, TEC007000 Technology & Engineering / Electrical, TEC008000 Technology & Engineering / Electronics / General, TEC009000 Technology & Engineering / Engineering (General)
Dr. Nico Piatkowski, Fraunhofer Institute IAIS, Sankt Augustin, Germany.