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Energy Efficiency and Robustness of Advanced Machine Learning Architectures A Cross-Layer Approach - Alberto Marchisio, Muhammad Shafique 2025 PDF | EPUB CRC Press BOOKS
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Energy Efficiency and Robustness of Advanced Machine Learning Architectures A Cross-Layer Approach
Author: Alberto Marchisio, Muhammad Shafique
Year: 2025
Pages: 361
Format: PDF | EPUB
File size: 51.9 MB
Language: ENG



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Book Energy Efficiency and Robustness of Advanced Machine Learning Architectures A CrossLayer Approach The book "Energy Efficiency and Robustness of Advanced Machine Learning Architectures A CrossLayer Approach" is a comprehensive guide to understanding the development and implementation of advanced machine learning architectures that prioritize energy efficiency and robustness. The book explores the intersection of these two critical factors in the context of cross-layer approaches, providing readers with a deep dive into the latest advancements in the field. It covers the principles, techniques, and applications of energy-efficient and robust machine learning architectures, making it an essential resource for researchers, practitioners, and students alike. The book begins by discussing the importance of energy efficiency and robustness in modern machine learning systems, highlighting their significance in various applications such as edge computing, autonomous vehicles, and smart grids. It then delves into the fundamentals of cross-layer approaches, explaining how they can be used to optimize energy consumption while maintaining robust performance.
Book Energy Efficiency and Robustness of Advanced Machine arning Architectures A CrossLayer Approach Книга "Энергоэффективность и надежность расширенных архитектур машинного обучения. Книга исследует пересечение этих двух критических факторов в контексте межуровневых подходов, предоставляя читателям глубокое погружение в последние достижения в этой области. Он охватывает принципы, методы и применения энергоэффективных и надежных архитектур машинного обучения, что делает его важным ресурсом для исследователей, практиков и студентов. Книга начинается с обсуждения важности энергоэффективности и надежности в современных системах машинного обучения, подчеркивая их значение в различных приложениях, таких как периферийные вычисления, автономные транспортные средства и интеллектуальные сети. Затем он углубляется в основы межуровневых подходов, объясняя, как их можно использовать для оптимизации энергопотребления при сохранении высокой производительности.
Book Energy Efficiency and Robustness of Advanced Machine Arning Architectures A CrossLayer Approach Livre "Efficacité énergétique et fiabilité des architectures d'apprentissage automatique avancées. livre explore l'intersection de ces deux facteurs critiques dans le contexte d'approches inter-niveaux, offrant aux lecteurs une profonde immersion dans les dernières avancées dans ce domaine. Il couvre les principes, les méthodes et les applications d'architectures d'apprentissage automatique économes en énergie et fiables, ce qui en fait une ressource importante pour les chercheurs, les praticiens et les étudiants. livre commence par discuter de l'importance de l'efficacité énergétique et de la fiabilité dans les systèmes modernes d'apprentissage automatique, en soulignant leur importance dans diverses applications telles que le calcul périphérique, les véhicules autonomes et les réseaux intelligents. Il s'oriente ensuite vers les bases des approches inter-niveaux, expliquant comment elles peuvent être utilisées pour optimiser la consommation d'énergie tout en conservant des performances élevées.
Eficiencia energética y robustez de la maquinaria avanzada Arquitectura de arquitectura A CrossLayer Approach "Eficiencia energética y confiabilidad de las arquitecturas avanzadas de aprendizaje automático. libro explora la intersección de estos dos factores críticos en el contexto de los enfoques entre niveles, proporcionando a los lectores una profunda inmersión en los últimos avances en este campo. Abarca principios, métodos y aplicaciones de arquitecturas de aprendizaje automático eficientes y confiables desde el punto de vista energético, lo que lo convierte en un recurso importante para investigadores, profesionales y estudiantes. libro comienza con un debate sobre la importancia de la eficiencia energética y la fiabilidad en los sistemas modernos de aprendizaje automático, destacando su importancia en diversas aplicaciones como la computación periférica, los vehículos autónomos y las redes inteligentes. A continuación, se profundiza en los fundamentos de los enfoques entre niveles, explicando cómo se pueden utilizar para optimizar el consumo de energía mientras se mantiene un alto rendimiento.
Book Energy Efficiency and Robustness of Advanced Machine arning Architectures A CrossLayer Approach Book "Efficienza energetica e affidabilità delle architetture avanzate di apprendimento automatico. Il libro esamina l'intersezione di questi due fattori critici nel contesto di approcci su più livelli, fornendo ai lettori una profonda immersione negli ultimi progressi in questo campo. Essa comprende i principi, le tecniche e l'applicazione di architetture di apprendimento automatico efficienti ed efficienti, che lo rendono una risorsa importante per ricercatori, professionisti e studenti. Il libro inizia con un dibattito sull'importanza dell'efficienza energetica e dell'affidabilità nei sistemi di apprendimento automatico avanzati, sottolineando il loro significato in diverse applicazioni, come il calcolo periferico, i veicoli autonomi e le reti intelligenti. Viene quindi approfondito in base agli approcci su più livelli, spiegando come utilizzarli per ottimizzare il consumo energetico mantenendo le prestazioni elevate.
Buch Energieeffizienz und Robustheit fortgeschrittener Maschinenarchitektur Ein CrossLayer-Ansatz Buch "Energieeffizienz und Zuverlässigkeit fortgeschrittener maschineller rnarchitekturen. Das Buch untersucht die Schnittstelle dieser beiden kritischen Faktoren im Kontext von Interlevel-Ansätzen und bietet den sern ein tiefes Eintauchen in die neuesten Fortschritte auf dem Gebiet. Es umfasst die Prinzipien, Methoden und Anwendungen energieeffizienter und robuster Machine-arning-Architekturen und ist damit eine wichtige Ressource für Forscher, Praktiker und Studenten. Das Buch beginnt mit einer Diskussion über die Bedeutung von Energieeffizienz und Zuverlässigkeit in modernen maschinellen rnsystemen und unterstreicht deren Bedeutung in verschiedenen Anwendungen wie Edge Computing, autonomen Fahrzeugen und intelligenten Netzen. Anschließend geht er tiefer in die Grundlagen von Interlevel-Ansätzen ein und erklärt, wie sie zur Optimierung des Energieverbrauchs bei gleichzeitig hoher istung eingesetzt werden können.
Book Energy Efficiency and Robustness of Advanced Machine arning Architectures Książka Podejścia "Efektywność energetyczna i niezawodność zaawansowanych architektur uczenia maszynowego. Książka bada skrzyżowanie tych dwóch krytycznych czynników w kontekście podejścia międzysektorowego, zapewniając czytelnikom głębokie zanurzenie w ostatnich wydarzeniach w tej dziedzinie. Obejmuje ona zasady, metody i zastosowania energooszczędnych i niezawodnych architektur uczenia maszynowego, co czyni go ważnym zasobem dla naukowców, praktyków i studentów. Książka rozpoczyna się od omówienia znaczenia efektywności energetycznej i niezawodności w nowoczesnych systemach uczenia maszynowego, podkreślając ich znaczenie w różnych zastosowaniach, takich jak komputery krawędziowe, samodzielne pojazdy i inteligentne sieci. Następnie zagłębia się w podstawy podejść międzywarstwowych, wyjaśniając, jak można je wykorzystać do optymalizacji zużycia energii przy zachowaniu wysokiej wydajności.
Book Energy Applicity and Robustness of Advanced Machine Architectures A CrossLayer Application Book "Energy Experience and Residence of Advanced men learchecturituritures. הספר בוחן את הצטלבות שני הגורמים הקריטיים הללו בהקשר של גישות חוצות, ומספק לקוראים צלילה עמוקה להתפתחויות האחרונות בתחום. הוא מכסה את העקרונות, השיטות והיישומים של ארכיטקטורות למידת מכונות חסכוניות ומהימנות, מה שהופך אותו למשאב חשוב עבור חוקרים, אנשי מקצוע וסטודנטים. הספר מתחיל בדיונים על חשיבות היעילות האנרגטית והאמינות של מערכות למידת מכונה מודרניות, ומדגיש את חשיבותן ביישומים שונים כגון מחשוב קצה, כלי רכב אוטונומיים ורשתות חכמות. לאחר מכן הוא מתעמק בגישות בין שכבות, ומסביר כיצד ניתן להשתמש בהן כדי לייעל את צריכת החשמל תוך שמירה על ביצועים גבוהים.''
Book Energy Efficiency and Robustness of Advanced Machine arning Architectures A CrossLayer Approach Book "Gelişmiş Makine Öğrenimi Mimarilerinin Enerji Verimliliği ve Güvenilirliği. Kitap, bu iki kritik faktörün kesişimini çapraz seviyeli yaklaşımlar bağlamında araştırıyor ve okuyuculara alandaki son gelişmelere derin bir dalış sağlıyor. Enerji verimli ve güvenilir makine öğrenimi mimarilerinin ilkelerini, yöntemlerini ve uygulamalarını kapsar, bu da onu araştırmacılar, uygulayıcılar ve öğrenciler için önemli bir kaynak haline getirir. Kitap, modern makine öğrenme sistemlerinde enerji verimliliği ve güvenilirliğinin önemini tartışarak, kenar hesaplama, otonom araçlar ve akıllı şebekeler gibi çeşitli uygulamalardaki önemini vurgulayarak başlıyor. Daha sonra katmanlar arası yaklaşımların temellerini inceleyerek, yüksek performansı korurken güç tüketimini optimize etmek için nasıl kullanılabileceğini açıklıyor.
كتاب كفاءة الطاقة وقوة معماريات التعلم الآلي المتقدم كتاب نهج الطبقة المتقاطعة "كفاءة الطاقة وموثوقية هياكل التعلم الآلي المتقدمة. يستكشف الكتاب تقاطع هذين العاملين الحاسمين في سياق النهج الشاملة، مما يوفر للقراء نظرة عميقة في التطورات الأخيرة في هذا المجال. يغطي مبادئ وأساليب وتطبيقات هياكل التعلم الآلي الموثوقة والموثوقة للطاقة، مما يجعلها موردًا مهمًا للباحثين والممارسين والطلاب. يبدأ الكتاب بمناقشة أهمية كفاءة الطاقة والموثوقية في أنظمة التعلم الآلي الحديثة، مع تسليط الضوء على أهميتها في تطبيقات مختلفة مثل الحوسبة المتطورة والمركبات ذاتية القيادة والشبكات الذكية. ثم يتعمق في أساسيات الأساليب بين الطبقات، موضحًا كيف يمكن استخدامها لتحسين استهلاك الطاقة مع الحفاظ على الأداء العالي.
高級機器采購體系結構的Book Energy Efficiency and Robustness A CrossLayer Approach書"高級機器學習體系結構的能效和可靠性。該書探討了跨層次方法中這兩個關鍵因素的交集,使讀者深入了解了該領域的最新進展。它涵蓋了節能和可靠的機器學習體系結構的原理,方法和應用,使其成為研究人員,從業人員和學生的重要資源。本書首先討論了能源效率和可靠性在現代機器學習系統中的重要性,強調了它們在各種應用中的重要性,例如外圍計算,自動駕駛汽車和智能網絡。然後,他深入研究了跨層方法的基礎,解釋了如何在保持高性能的同時優化功耗。

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