Energy Efficiency and Robustness of Advanced Machine Learning Architectures
Lingua: inglese
Editore: CRC Press, 2026
Serie: Libro 39 di 48 - Chapman & Hall/CRC Artificial Intelligence and Robotics
- Brossura
- Nuovo

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Codice articolo L0-9781032870137
- Titolo
- Energy Efficiency and Robustness of Advanced Machine Learning Architectures
- Autore
- Alberto Marchisio
- Editore
- CRC Press
- Anno di pubblicazione
- 2026
- Condizione
- New
- Rilegatura
- PAP
- Lingua
- inglese
- ISBN 10
- 1032870133
- ISBN 13
- 9781032870137
- Peso dell'articolo
- 626 grammi
- Serie
- Libro 39 di 48: Chapman & Hall/CRC Artificial Intelligence and Robotics
Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing for a single objective/have a limited set of goals.
This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks. More specifically, this book improves the energy efficiency of complex models like CapsNets, through a specialized flow of hardware-level designs and software-level optimizations exploiting the application-driven knowledge of these systems and the error tolerance through approximations and quantization. This book also improves the robustness of ML models, in particular for SNNs executed on neuromorphic hardware, due to their inherent cost-effective features. This book integrates multiple optimization objectives into specialized frameworks for jointly optimizing the robustness and energy efficiency of these systems.
This is an important resource for students and researchers of computer and electrical engineering who are interested in developing energy efficient and robust ML.
The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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Informazioni sull’autore
Alberto Marchisio received his B.Sc. and M.Sc. degrees in Electronic Engineering from Politecnico di Torino, Turin, Italy, in October 2015 and April 2018, respectively. He received his Ph.D. degree in Computer Science from the Technische Universität Wien (TU Wien) Informatics Doctoral College Resilient Embedded Systems, Vienna, Austria, in September 2023. Currently, he is a Research Group Leader with the eBrain Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), United Arab Emirates. His main research interests include hardware and software optimizations for machine learning, brain-inspired computing, VLSI architecture design, emerging computing technologies, robust design, and approximate computing for energy efficiency. He (co-)authored 30+ papers in prestigious international conferences and journals. He received the honorable mention at the Italian National Finals of Maths Olympic Games in 2012, and the Richard Newton Young Fellow Award in 2019.
Muhammad Shafique (M’11 - SM’16) received his Ph.D. degree in Computer Science from the Karlsruhe Institute of Technology (KIT), Germany, in 2011. Afterwards, he established and led a highly recognized research group at KIT for several years as well as conducted impactful collaborative R&D activities across the globe. Besides co-founding a technology startup in Pakistan, he was also an initiator and team lead of an ICT R&D project. He has also established strong research ties with multiple universities in worldwide, where he has been actively co-supervising various R&D activities and student/research Theses since 2011, resulting in top-quality research outcome and scientific publications. Before KIT, he was with Streaming Networks Pvt. Ltd. where he was involved in research and development of video coding systems several years. In October 2016, he joined the Institute of Computer Engineering at the Faculty of Informatics, Technische Universität Wien (TU Wien), Vienna, Austria as a Full Professor of Computer Architecture and Robust, Energy-Efficient Technologies. Since Sep.2020, Dr. Shafique is with the New York University (NYU), where he is currently a Full Professor and the director of eBrain Lab at the NYU-Abu Dhabi in UAE, and a Global Network Professor at the Tandon School of Engineering, NYU-New York City in USA. He is also a Co-PI/Investigator in multiple NYUAD Centers, including Center of Artificial Intelligence and Robotics (CAIR), Center of Cyber Security (CCS), Center for InTeractIng urban nEtworkS (CITIES), and Center for Quantum and Topological Systems (CQTS).
Dr. Shafique has demonstrated success in obtaining prestigious grants, leading team-projects, meeting deadlines for demonstrations, motivating team members to peak performance levels, and completion of independent challenging tasks. His experience is corroborated by strong technical knowledge and an educational record (throughout Gold Medalist). He also possesses an in-depth understanding of various video coding standards and machine learning algorithms. His research interests are in AI & machine learning hardware and system-level design, brain-inspired computing, neuromorphic computing, approximate computing, quantum machine learning, cognitive autonomous systems, robotics, wearable healthcare, AI for healthcare, energy-efficient systems, robust computing, machine learning secrity and privacy, hardware security, emerging technologies, electronic design automation, FPGAs, MPSoCs, embedded systems, and quantum computing. His research has a special focus on cross-layer analysis, modeling, design, and optimization of computing and memory systems. The researched technologies and tools are deployed in application use cases from Internet-of-Things (IoT), Smart Cyber-Physical Systems (CPS), and ICT for Development (ICT4D) domains.
Dr. Shafique has given several Keynotes, Invited Talks, and Tutorials at premier venues. He has also organized many special sessions at flagship conferences (like DAC, ICCAD, DATE, IOLTS, and ESWeek). He has served as the Associate Editor and Guest Editor of prestigious journals like IEEE Transactions on Computer Aided Design (TCAD), IEEE Design and Test Magazine (D&T), ACM Transactions on Embedded Computing (TECS), IEEE Transactions on Sustainable Computing (T-SUSC), and Elsevier MICPRO. He has served as the TPC Chair of several conferences like CODES+ISSS, IGSC, ISVLSI, PARMA-DITAM, RTML, ESTIMedia and LPDC; General Chair of ISVLSI, IGSC, DDECS and ESTIMedia; Track Chair at DAC, ICCAD, DATE, IOLTS, DSD and FDL; and PhD Forum Chair of ISVLSI. He has also served on the program committees of numerous prestigious IEEE/ACM conferences including ICCAD, DAC, MICRO, ISCA, DATE, CASES, ASPDAC, and FPL. He has been recognized as a member of the ACM TODAES Distinguished Review Board in 2022. He is a senior member of the IEEE and IEEE Signal Processing Society (SPS), and a professional member of the ACM, SIGARCH, SIGDA, SIGBED, and HIPEAC. He holds one US patent and has (co-)authored 7 Books, 20+ Book Chapters, 350+ papers in premier journals and conferences, and over 100 archive articles.
Dr. Shafique received the prestigious 2015 ACM/SIGDA Outstanding New Faculty Award, the AI-2000 Chip Technology Most Influential Scholar Award in 2020, 2022 and 2023, the ATRC’s ASPIRE Award for Research Excellence in 2021, six gold medals in his educational career, and several best paper awards and nominations at prestigious conferences like CODES+ISSS, DATE, DAC and ICCAD, Best Master Thesis Award, DAC'14 Designer Track Best Poster Award, IEEE Transactions of Computer "Feature Paper of the Month" Awards, and Best Lecturer Award. His research work on aging optimization for GPUs featured as a Research Highlight in the Nature Electronics, Feb.2018 issue. Dr. Shafique was named in the NYU’s 2021 Faculty Honors List. His students have also secured many prestigious student and research awards in the research community
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PBShop.store UK
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Venditore AbeBooks dal 11 giugno 1999
Tariffe di spedizione da Regno Unito a U.S.A.
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We are committed to protecting the privacy and security of personal data. This policy tells you how we will collect and use your personal data, and what you should expect in respect of the personal information about you that we have collected.
We are PBShop.co.uk Limited (registered in England & Wales with Company No: 9366362). Our registered office is at Swatton Barn, Badbury, Swindon, SN4 0EU, United Kingdom.
The person with responsibility for our data protection compliance is the Managing Director and they can be contacted via email at help@pbshop.store.
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Lawfulness, fairness and transparency;
Purpose limitation;
Data minimisation;
Accuracy;
Storage limitation;
Integrity and confidentiality.
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a copy of your personal data;
that inaccurate data is rectified; and
that your personal data is, in certain circumstances, erased or restricted.
You have the right to complain to the Information Commissioner, which you can do by contacting the Information Commissioner’s Office (ICO) directly. Full contact details, including a helpline number, can be found on the ICO website (www.ico.org.uk). This website also has useful information on your rights and our obligations. However, please raise any concerns or issues with us first so that we may deal with this as quickly as possible for you.
COLLECTION, USE AND DISCLOSURE OF PERSONAL DATA
We collect and process data for the following reasons:
personal data collected and created in relation to our selling books and other items; and
personal data relating to our people (which means those people working for our company, or providing services to us, or potentially working or providing services to us, including employees, consultants, temporary or casual workers and contractors).
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Selling books and other items
COLLECTION:
We will collect personal information which may include names, addresses and other information for our customers. This will be done for the management of the commercial relationship with our customers.
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USE:
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We will only use your personal data when the law allows us to. Most commonly, we will use your personal data in the following circumstances:
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compliance with a legal obligation; and/or
vital interests of the data subject; and/or
where it is necessary for our legitimate interests (or those of a third party) and your interests and fundamental rights do not override those interests.
We may also use your personal data in the following situations, which are likely to be far less common:
where we need to protect your interests (or someone else’s interests);
where it is needed in the public interest or for official purposes.
DISCLOSURE:
We may share personal data with third parties as is necessary in the sale of books and other items, including to third party providers who deliver services to support the operation of our company.
In respect of all disclosures of personal data, we will only share the personal information which is necessary for the particular purpose for which it is provided, or where we have another legitimate interest in doing so, and we will ensure that the personal data is appropriately protected.
RETENTION PERIOD:
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Our people
COLLECTION:
We will collect names, addresses, contact details, education and employment history, identity and other background checks (which may include appropriate criminal and financial checks and confirmation of the right to work in the UK), marital status and information on next of kin and dependents, financial information (such as bank details and NI numbers), date of birth, gender, a copy of your passport and driving licence, performance information and compensation history, recruitment information (including references), salary, benefits, pension and annual leave information, disciplinary and grievance information, photographs, information about your use of our information and communications systems and CCTV footage or other information obtained through electronic means.
We may collect and use special categories of personal data as required in the carrying out of obligations and exercising specific rights of us or the data subject in the field of employment. This may include information relating to matters such as health, racial origin, religious belief and offences or alleged offences.
Personal data may be collected from you during the selection process (for example via your application form and CV) and during your employment (including holiday forms, expense claims, performance reviews, any disciplinary or grievance processes), or from third parties, including referees, health service providers, background check providers.
USE:
Personal data of our people will be used for HR administration and management, both in respect of the selection of people to work for us (including suitability, eligibility and/or fitness to work), and those who do work for us, to include learning and development, disciplinary and security (of people, offices and data) requirements, providing and liaising with benefits providers, business management and planning (including accounting and auditing), paying you and dealing with tax and NI deductions, assessing and deciding on salary reviews and compensation, conducting performance reviews and managing performance, dealing with legal disputes involving you or others, preventing fraud, monitoring your use of our information and communications systems, ensuring compliance with our policies, and equal opportunities monitoring.
We will only use your personal data when the law allows us to. Most commonly, we will use your personal data in the following circumstances:
In performance of a contract with you; and/or
compliance with a legal obligation; and/or
vital interests of the data subject; and/or
where it is necessary for our legitimate interests (or those of a third party) and your interests and fundamental rights do not override those interests.
We may also use your personal data in the following situations, which are likely to be less common:
where we need to protect your interests (or someone else’s interests);
where it is needed in the public interest or for official purposes.
In respect of all disclosures of personal data, we will only share the personal information which is necessary for the particular purpose for which it is provided, or where we have another legitimate interest in doing so, and we will ensure that the personal data is appropriately protected.
In respect of special categories of personal data, we may process this in the following circumstances:
in limited circumstances with your explicit written consent; and/or
where we need to carry out our legal obligations and in line with our policies; and/or
where it is needed in the public interest (such as for equal opportunities monitoring or in relation to our occupational pension scheme), and in line with our policies; and/or
where it is needed to assess your working capacity on health grounds, subject to appropriate confidentiality safeguards.
Less commonly, we may process this type of information where it is needed in relation to legal claims or where it is needed to protect your (or someone else’s) interests and you are not capable of giving your consent, or where you have already made the information public. We may also process such information about our people (or former people) in the course of our legitimate business activities with the appropriate safeguards.
The special categories of personal data may be used in the following ways:
in relation to leaves of absence, to comply with employment and other laws;
in relation to your physical or mental health, or disability status, to ensure your health and safety in the workplace and to assess your fitness to work, to monitor, manage and administer benefits and absences;
in relation to your race, national or ethnic origin, religious, philosophical or moral beliefs, or your sexual life or sexual orientation, to ensure meaningful equal opportunity monitoring and reporting.
DISCLOSURE:
Personal data may be transferred to service providers who support the operation of our business (such as payroll service providers), to other third parties reasonably necessary in the conduct of our business (including insurers, professional advisors, regulators). These third parties may be acting as processor, or controller of personal data in their own right.
In respect of all disclosures of personal data, we will only share the personal information which is necessary for the particular purpose for which it is provided, or where we have another legitimate interest in doing so, and we will ensure that the personal data is appropriately protected.
RETENTION PERIOD:
We will keep personal data only for as long as is necessary to fulfil the purposes for which we collected it, including for the purposes of satisfying any legal, accounting or reporting requirements. We will normally keep personal data of applicants who we do not employ for six months after we receive it.
We will keep personal data of employees throughout your employment and normally for a minimum of six years after your employment ends.
Changes to your personal data
It is very important that the personal information that we hold about you is accurate and current. Please tell us if your personal information changes during your relationship with us.
Data Security
We have put in place measures to prevent your personal data from being accidentally lost, used or accessed in an unauthorised way, altered or disclosed. In addition, we limit access to your personal data to those of our people and other third parties who have a business need to know. They will only process your personal data on our instructions and where they have agreed to treat the information confidentially and to keep it secure. We have put in place procedures to deal with any suspected data security breach and will notify you and the ICO of a suspected breach where we are legally required to do so.
Where we store your personal data
We principally store data, both electronically and on file, at our office.
Personal data may be transferred outside of the EEA by processors acting on our behalf. For transfers to countries not considered adequate by the EC, we will ensure that personal data is adequately protected, as required by the GDPR. This would include by use of the Standard Contractual Clauses adopted by the EC to protect personal data.
Your rights
Under certain circumstances, you have the right by law to request:
access to your personal data. This enables you to ask to receive a copy of the personal data that we hold about you and to check that we are lawfully processing it.
correction of the personal data that we hold about you.
erasure of your personal data.
object to processing of your personal data where we are relying on our legitimate interest and there is something about your particular situation which makes you want to object to processing on this ground. You also have the right to object where we are processing your personal information for direct marketing purposes.
restriction of processing of your personal data.
transfer of your personal data to another party.
Links from our website
Our website may, from time to time, contain links to and from the websites of third parties that we permit to make such links. If you follow a link to any of these websites, please note that these websites have their own privacy policies and that we do not accept any responsibility or liability for these policies. We recommend that you check these policies before you submit any personal data to these websites.
CHANGES TO THIS PRIVACY POLICY
Any changes we may make to our privacy policy in the future will be posted on our website, so please ensure that you are viewing the correct version.
Please contact us if you have any questions, comments or requests regarding this Privacy Policy.
Last amended May 2021.