Part I: Introduction
Chapter 1:Mixed-signal compute and memory fabrics for deep neural networks
Chapter 2 :Analog computation with RRAM and supporting circuits
Chapter 3: Analog in-Memory Computing with SOT-MRAM: Architecture and Circuit Challenges
Chapter 4: Prospects for analog circuits in deep networks
Chapter 5: SPIRIT: A first mixed-signal SNN using co-integrated CMOS neurons and resistive synapses
Chapter 6: Accelerated analog neuromorphic computing
Part II: Introduction
Chapter 7: Advancements in current sensing for future automotive applications
Chapter 8: Next generation current sense interfaces for the IoT era
Chapter 9: Precision voltage sensing in deep sub-micron and its challenges
Chapter 10: Breaking unusual barriers in sensor interfaces: from minimum energy to ultimate low-cost
Chapter 11: Thermal sensor and reference circuits based on a time-controlled bias of pn-junctions in FinFET technology
Chapter 12: Resistor-based temperature sensors
Part III: Introduction
Chapter 13: Recent advances in fractional-N frequency synthesis
Chapter 14: ADC/DSP-based receivers for high-speed serial links
Chapter 15: ADC based SerDes receiver for 112 Gb/s PAM4 wireline communication
Chapter 16: BiCMOS integrated circuits for millimeter-wave wireless backhaul transmitters
Chapter 17: Optical communication in CMOS - Bringing new opportunities to an established platform
Chapter 18: Coherent silicon photonic links
Index.