Nano-Chips 2030: On-Chip AI for an Efficient Data-Driven World (Paperback, 2020)

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.