RIVER PUBLISHERS IS AN INTERNATIONAL PUBLISHER THAT PUBLISHES RESEARCH MONOGRAPHS, PROFESSIONAL BOOKS, HANDBOOKS, EDITED VOLUMES AND JOURNALS WITH FOCUS ON KEY RESEARCH AREAS WITHIN THE FIELDS OF SCIENCE, TECHNOLOGY AND MEDICINE (STM).

Tutorials in Circuits and Systems Series

From Artificial Intelligence to Brain Intelligence

AI Compute Symposium 2018

Hardback
June 2020
9788770221238
More details
  • Publisher
    River Publishers
  • Published
    18th June
  • ISBN 9788770221238
  • Language English
  • Pages 300 pp.
  • Size 6" x 9"
$115.00
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July 2020
9788770221245
More details
  • Publisher
    River Publishers
  • ISBN 9788770221245
  • Language English
  • Pages 300 pp.
  • Size 6" x 9"
$115.00

The field of AI is not new to researchers, as its foundations were established in the 1950s. After many decades of inattention, there has been a dramatic resurgence of interest in AI, fueled by a confluence of several factors. The benefits of decades of Dennard scaling and Moore’s law miniaturization, coupled with the rise of highly distributed processing, have led to massively parallel systems well suited for handling big data. The widespread availability of big data, necessary for training AI algorithms, is another important factor. Finally, the greatly increased compute power and memory bandwidths have enabled deeper networks and new algorithms capable of accuracy rivaling that of human perception.

 Already AI has shown success in many diverse areas, including finance (portfolio management, investment strategies), marketing, health care, transportation, gaming, defense, robotics, computer vision, education, search engines, online assistants, image/facial recognition, anomaly detection, spam filtering, online customer service, biometric sensors, and predictive maintenance, to name a few. Despite these remarkable advances, the human brain is still superior in many ways – including, notably, energy efficiency and one-shot learning – giving researchers new areas to explore. In summary, AI research and applications will continue with vigor in software, algorithms, and hardware accelerators. These exciting developments have also brought new questions of ethics and privacy, areas which must be studied in tandem with technological advances.

To continue the success story of AI, the AI Compute Symposium was launched with the sponsorship of IBM, IEEE CAS and EDS for the first time. The aim of this publication is to compile all the materials presented by the renowned speakers in the symposium into a book format, serving as a learning tool for the audience.

This book contains two broad topics: general AI advances (chapters 1-5) and neuromorphic computing directions (chapters 6-9). Technical topics discussed in the book include:

  1. Research Directions in AI algorithms and systems
  2. An ARM perspective on hardware requirements and challenges for AI
  3. The new Era of AI hardware
  4. AI and the Opportunity for Unconventional Computing Platforms
  5. Thermodynamic Computing
  6. Brain-like cognitive engineering system
  7. BRAINWAY and Nano - Abacus architecture: Brain-inspired Cognitive Computing using Energy Efficient Physical Computational Structures, Algorithms and Architecture Co-Design
  8. Applying Lessons from Nature for Today’s Computing Challenges
  9. Emerging Memories - RRAM Fabric for Neuromorphic Computing Applications

 

Preface
1. Research Directions in AI algorithms and systems - Lisa Amini
2. An ARM perspective on hardware requirements and challenges for AI – Robert Aitken
3. The new Era of AI hardware - Jeff Burns
4. AI and the Opportunity for Unconventional Computing Platforms – Naveen Verma
5. Thermodynamic Computing – Todd Hylton
6. Brain like cognitive engineering system - Jan Rabaey
7. BRAINWAY and Nano - Abacus architecture: Brain -inspired Cognitive Computing using Energy Efficient Physical Computational Structures, Algorithms and Architecture Co-Design - Andreas Andreou
8. Applying Lessons from Nature for Today’s Computing Challenges – Mike Davies
9. RRAM Fabric for Neuromorphic Computing Applications – Wei Lu

Rajiv Joshi

Rajiv Joshi is with IBM Research Division, USA.

Matt Ziegler

Matt Ziegler is with IBM Research Division, USA.

Arvind Kumar

Arvind Kumar is with IBM Research Division, USA.

Eduard Alarcon

Eduard Alarcon is with Technical University of Catalunya, UPC BarcelonaTech, Spain.

AI algorithms and systems, memory processing unit, In-memory computation, Thermodynamic computing, Neuromorphic, Cognitive computing, architectures, brain chips, RRAM Memory