NANO-CHIPS 2030 : on-chip AI for an efficient data-driven world /: on-chip AI for an efficient data-driven world. ([2020])
- Record Type:
- Book
- Title:
- NANO-CHIPS 2030 : on-chip AI for an efficient data-driven world /: on-chip AI for an efficient data-driven world. ([2020])
- Main Title:
- NANO-CHIPS 2030 : on-chip AI for an efficient data-driven world
- Further Information:
- Note: Boris Murmann, Bernd Hoefflinger, editors.
- Editors:
- Murmann, Boris
Höfflinger, Bernd - Contents:
- 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.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2020
- Extent:
- 1 online resource (597 pages)
- Subjects:
- 620.5
Nanoscience
Electronic books - Languages:
- English
- ISBNs:
- 3030183386
9783030183387 - Notes:
- Note: Includes bibliographical references and index.
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- Physical Locations:
- British Library HMNTS - ELD.DS.512206
- Ingest File:
- 03_093.xml