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2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Author : IEEE Staff
Publisher :
Page : pages
File Size : 37,16 MB
Release : 2021-06-06
Category :
ISBN : 9781665430258

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Artificial Intelligence is driving a new revolution in domains ranging from manufacturing, automotive, healthcare, robotics, entertainment, and many others New computing platforms are required to support the emerging AI algorithms and applications, from cloud servers to edge devices, from system level to circuit level AICAS facilitates research, innovation and development activities at the frontiers of circuits and systems for AI It allows academia to meet industry from the international community to exchange experiences, demonstrate their studies and further advance AI technologies AICAS is the major conference for AI that stands between theory, applications, and ASICs

2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Author : IEEE Staff
Publisher :
Page : 0 pages
File Size : 41,74 MB
Release : 2022-06-13
Category :
ISBN : 9781665409971

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Circuits and systems for AI Deep learning machine learning AI algorithms Tools Platforms for AI Architectures for AI computing Neuromorphic circuits, processors and systems and their applications Hardware software co design and design automation for AI systems Advanced neural network design Emerging applications Internet of Things, healthcare, autonomous vehicles, environment Emerging devices and materials for AI

2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Author : IEEE Staff
Publisher :
Page : pages
File Size : 34,16 MB
Release : 2020-08-31
Category :
ISBN : 9781728149233

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Artificial Intelligence is driving a new revolution in domains ranging from manufacturing, automotive, healthcare, robotics, entertainment, and many others New computing platforms are required to support the emerging AI algorithms and applications, from cloud servers to edge devices, from system level to circuit level AICAS facilitates research, innovation and development activities at the frontiers of circuits and systems for AI It allows academia to meet industry from the international community to exchange experiences, demonstrate their studies and further advance AI technologies AICAS is the major conference for AI that stands between theory, applications, and ASICs The theme of AICAS2020 is Circuits and systems for efficient embedded AI , revolving around the development of hardware and computational strategies towards an increase in system efficiency that supports efficient, embedded, smart applications (such as mobile, robotics, automotive)

Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

Author : Vikram Jain
Publisher : Springer Nature
Page : 199 pages
File Size : 40,69 MB
Release : 2023-09-15
Category : Technology & Engineering
ISBN : 3031382307

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This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.

Machine Vision and Augmented Intelligence

Author : Koushlendra Kumar Singh
Publisher : Springer Nature
Page : 645 pages
File Size : 16,85 MB
Release : 2023-06-01
Category : Computers
ISBN : 9819901898

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This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2022). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the book. The book encompasses all industrial and non-industrial applications. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, image processing, and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in health care, brain-computer interface, cybersecurity, social network analysis, and natural language processing.​

Deep Reinforcement Learning Processor Design for Mobile Applications

Author : Juhyoung Lee
Publisher : Springer Nature
Page : 105 pages
File Size : 14,67 MB
Release : 2023-08-14
Category : Technology & Engineering
ISBN : 3031367936

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This book discusses the acceleration of deep reinforcement learning (DRL), which may be the next step in the burst success of artificial intelligence (AI). The authors address acceleration systems which enable DRL on area-limited & battery-limited mobile devices. Methods are described that enable DRL optimization at the algorithm-, architecture-, and circuit-levels of abstraction.