東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

NANO-CHIPS 2030 = on-chip AI for an ...

Murmann, Boris.

FindBook

Google Book

Amazon

博客來

NANO-CHIPS 2030 = on-chip AI for an efficient data-driven world /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	NANO-CHIPS 2030/ edited by Boris Murmann, Bernd Hoefflinger.
其他題名:	on-chip AI for an efficient data-driven world /
其他作者:	Murmann, Boris.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xxiii, 592 p. :ill., digital ;24 cm.
內容註:	New Programs after the End of the Nanometer Roadmap -- Real-World Electronics -- Silicon Complementary MOS (CMOS) Technology in its 7th Decade -- The Future of Ultra-Low-Power SOTBC CMOS -- Energy-Efficient and High-Throughput Digital CMOS -- Update on Monolithic 3D Integration -- Heterogeneous 3D Integration -- 3D High-Speed Memories Enabling the AI Future -- Minimum Nano-Features with EUV Lithography -- Acquisition of Information -- Machine-Learning Inference -- Multi-Sensor, Intelligent Microsystems -- 3D for efficient, Application-Specific Circuits (ASICs and FPGAs) -- Field-Programmable Arrays -- Coarse-Grained Reconfigurable Architectures -- Graphics-Accelerators and -Processors -- 1,000x Improvement of the Processor-Memory Gap -- Supercomputers -- Deep Learning On-Chip -- Digital Neural Networks -- Brain-Inspired Spiking-Neurons Systems -- Energy-Autonomous Chip-Systems -- Wearable and Implanted Chips -- Electronics for the Human Visual System -- Subretinal Implants in their Third Decade -- Update on Perception-Inspired HDR Video -- High-Dynamic-Range and High-Color Gamut Video -- Augmented and Virtual Reality -- Machine-Learning for Robotics - Hardware Requirements for Care Robots -- Prospects of Quantum Computing -- Man-Machine Cooperation and Cognitronics.
Contained By:	Springer eBooks
標題:	Systems on a chip. -
電子資源:	https://doi.org/10.1007/978-3-030-18338-7
ISBN:	9783030183387

NANO-CHIPS 2030 = on-chip AI for an efficient data-driven world /
NANO-CHIPS 2030on-chip AI for an efficient data-driven world /[electronic resource] :edited by Boris Murmann, Bernd Hoefflinger. - Cham :Springer International Publishing :2020. - xxiii, 592 p. :ill., digital ;24 cm. - The frontiers collection,1612-3018. - Frontiers collection..

New Programs after the End of the Nanometer Roadmap -- Real-World Electronics -- Silicon Complementary MOS (CMOS) Technology in its 7th Decade -- The Future of Ultra-Low-Power SOTBC CMOS -- Energy-Efficient and High-Throughput Digital CMOS -- Update on Monolithic 3D Integration -- Heterogeneous 3D Integration -- 3D High-Speed Memories Enabling the AI Future -- Minimum Nano-Features with EUV Lithography -- Acquisition of Information -- Machine-Learning Inference -- Multi-Sensor, Intelligent Microsystems -- 3D for efficient, Application-Specific Circuits (ASICs and FPGAs) -- Field-Programmable Arrays -- Coarse-Grained Reconfigurable Architectures -- Graphics-Accelerators and -Processors -- 1,000x Improvement of the Processor-Memory Gap -- Supercomputers -- Deep Learning On-Chip -- Digital Neural Networks -- Brain-Inspired Spiking-Neurons Systems -- Energy-Autonomous Chip-Systems -- Wearable and Implanted Chips -- Electronics for the Human Visual System -- Subretinal Implants in their Third Decade -- Update on Perception-Inspired HDR Video -- High-Dynamic-Range and High-Color Gamut Video -- Augmented and Virtual Reality -- Machine-Learning for Robotics - Hardware Requirements for Care Robots -- Prospects of Quantum Computing -- Man-Machine Cooperation and Cognitronics.

In this book, a global team of experts from academia, research institutes and industry presents their vision on how new nano-chip architectures will enable the performance and energy efficiency needed for AI-driven advancements in autonomous mobility, healthcare, and man-machine cooperation. Recent reviews of the status quo, as presented in CHIPS 2020 (Springer), have prompted the need for an urgent reassessment of opportunities in nanoelectronic information technology. As such, this book explores the foundations of a new era in nanoelectronics that will drive progress in intelligent chip systems for energy-efficient information technology, on-chip deep learning for data analytics, and quantum computing. Given its scope, this book provides a timely compendium that hopes to inspire and shape the future of nanoelectronics in the decades to come.

ISBN: 9783030183387

Standard No.: 10.1007/978-3-030-18338-7doiSubjects--Topical Terms:

729732
Systems on a chip.

LC Class. No.: TK7895.E42 / N366 2020

Dewey Class. No.: 006.22

NANO-CHIPS 2030 = on-chip AI for an efficient data-driven world /
LDR:03202nmm a2200337 a 4500 001 2221337
003 DE-He213
005 20201030170703.0
006 m d
007 cr nn 008maaau
008 201216s2020 sz s 0 eng d
020 $a 9783030183387 $q (electronic bk.)
020 $a 9783030183370 $q (paper)
024 7 $a 10.1007/978-3-030-18338-7 $2 doi
035 $a 978-3-030-18338-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7895.E42 $b N366 2020
072 7 $a TBN $2 bicssc
072 7 $a SCI050000 $2 bisacsh
072 7 $a TBN $2 thema
082 0 4 $a 006.22 $2 23
090 $a TK7895.E42 $b N186 2020
245 0 0 $a NANO-CHIPS 2030 $h [electronic resource] : $b on-chip AI for an efficient data-driven world / $c edited by Boris Murmann, Bernd Hoefflinger.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxiii, 592 p. : $b ill., digital ; $c 24 cm.
490 1 $a The frontiers collection, $x 1612-3018
505 0 $a New Programs after the End of the Nanometer Roadmap -- Real-World Electronics -- Silicon Complementary MOS (CMOS) Technology in its 7th Decade -- The Future of Ultra-Low-Power SOTBC CMOS -- Energy-Efficient and High-Throughput Digital CMOS -- Update on Monolithic 3D Integration -- Heterogeneous 3D Integration -- 3D High-Speed Memories Enabling the AI Future -- Minimum Nano-Features with EUV Lithography -- Acquisition of Information -- Machine-Learning Inference -- Multi-Sensor, Intelligent Microsystems -- 3D for efficient, Application-Specific Circuits (ASICs and FPGAs) -- Field-Programmable Arrays -- Coarse-Grained Reconfigurable Architectures -- Graphics-Accelerators and -Processors -- 1,000x Improvement of the Processor-Memory Gap -- Supercomputers -- Deep Learning On-Chip -- Digital Neural Networks -- Brain-Inspired Spiking-Neurons Systems -- Energy-Autonomous Chip-Systems -- Wearable and Implanted Chips -- Electronics for the Human Visual System -- Subretinal Implants in their Third Decade -- Update on Perception-Inspired HDR Video -- High-Dynamic-Range and High-Color Gamut Video -- Augmented and Virtual Reality -- Machine-Learning for Robotics - Hardware Requirements for Care Robots -- Prospects of Quantum Computing -- Man-Machine Cooperation and Cognitronics.
520 $a In this book, a global team of experts from academia, research institutes and industry presents their vision on how new nano-chip architectures will enable the performance and energy efficiency needed for AI-driven advancements in autonomous mobility, healthcare, and man-machine cooperation. Recent reviews of the status quo, as presented in CHIPS 2020 (Springer), have prompted the need for an urgent reassessment of opportunities in nanoelectronic information technology. As such, this book explores the foundations of a new era in nanoelectronics that will drive progress in intelligent chip systems for energy-efficient information technology, on-chip deep learning for data analytics, and quantum computing. Given its scope, this book provides a timely compendium that hopes to inspire and shape the future of nanoelectronics in the decades to come.
650 0 $a Systems on a chip. $3 729732
650 0 $a Integrated circuits. $3 584067
650 1 4 $a Nanoscale Science and Technology. $3 1244861
650 2 4 $a Electronics and Microelectronics, Instrumentation. $3 893838
650 2 4 $a Nanotechnology. $3 526235
650 2 4 $a Semiconductors. $3 516162
650 2 4 $a R & D/Technology Policy. $3 895529
700 1 $a Murmann, Boris. $3 821329
700 1 $a Hoefflinger, Bernd. $3 1567270
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Frontiers collection. $3 1314415
856 4 0 $u https://doi.org/10.1007/978-3-030-18338-7
950 $a Physics and Astronomy (Springer-11651)