Resource-Efficient Artificial Intelligence

Probabilistic Machine Learning on Ultra-Low-Power Systems

Nico Piatkowski (Autor)

Buch | Softcover

X, 350 Seiten

2024
De Gruyter (Verlag)
978-3-11-072105-8 (ISBN)

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lt;p>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.

lt;strong>Dr. Nico Piatkowski, Fraunhofer Institute IAIS, Sankt Augustin, Germany.

Erscheinungsdatum	10.05.2022
Reihe/Serie	De Gruyter Textbook
Zusatzinfo	100 col. ill.
Verlagsort	Berlin/Boston
Sprache	englisch
Maße	170 x 240 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Artificial Intelligence • Künstliche Intelligenz • machine learning • Maschinelles Lernen • Probabilistic Machine Learning • Probability Models • Resource consumption • Resource-fficient • Speichergrenzen • Storage limits • Ultra-Low-Power Systems • Wahrscheinlichkeitsmodelle
ISBN-10	3-11-072105-8 / 3110721058
ISBN-13	978-3-11-072105-8 / 9783110721058
Zustand	Neuware