NOC:Memory Device Technology for AI-ML Computing

Lecture 1 - Evolving Computing Paradigms

Lecture 2 - Von-Neumann Architecture

Lecture 3 - Hierarchy and Classifications

Lecture 4 - Evolution of Memory Hierarchy with Device Technology

Lecture 5 - Classifications within Memory Hierarchy

Lecture 6 - Practical Implementation of Memory Hierarchy

Lecture 7 - Trends in the Global Memory Market - Part 1

Lecture 8 - Trends in the Global Memory Market - Part 2

Lecture 9 - Memory Array Architecture - Part 1

Lecture 10 - Memory Array Architecture - Part 2

Lecture 11 - Memory Peripherals

Lecture 12 - Memory Footprint and Block Level Architecture

Lecture 13 - SRAM - Introduction

Lecture 14 - SRAM - Memory Effect and Hold Operation

Lecture 15 - SRAM - Read Operation - Part 1

Lecture 16 - SRAM - Read Operation - Part 2

Lecture 17 - SRAM - Write Operation

Lecture 18 - SRAM - Noise Margin Analysis

Lecture 19 - SRAM - Read, Write Conflict and Scaling

Lecture 20 - DRAM - Introduction

Lecture 21 - DRAM - Subsystem Architecture

Lecture 22 - DRAM - Cell Architecture and Hold Operation

Lecture 23 - DRAM - Refresh, Charge Transfer Ratio

Lecture 24 - DRAM - Read, Write and Restore

Lecture 25 - DRAM - Scaling Challenges and Solutions

Lecture 26 - NAND Flash - Introduction

Lecture 27 - NAND Flash - Flash Cell Architecture

Lecture 28 - NAND Flash - Array Architecture

Lecture 29 - NAND Flash - Program Operation

Lecture 30 - NAND Flash - Erase and Read Operations

Lecture 31 - NAND Flash - Bit Scaling

Lecture 32 - NAND Flash - Scaling Challenges and Solutions

Lecture 33 - Recap of Part 1

Lecture 34 - eNVMs Fundamentals of two-terminal Memristors

Lecture 35 - eNVMs PCRAMs Fundamentals of Phase Change Memories

Lecture 36 - eNVMs PCRAMs Technology and commercialization

Lecture 37 - eNVMs RRAMs Fundamentals

Lecture 38 - eNVMs RRAMs VCRAM and CBRAM

Lecture 39 - eNVMs RRAMs - Performance Metrics and Commercialization

Lecture 40 - eNVMs MRAM spin GMR TMR

Lecture 41 - eNVM MRAMs Field and STT MRAM

Lecture 42 - eNVM MRAM SOT and Commercialization

Lecture 43 - AI/ML Computing: Introduction and History

Lecture 44 - AI/ML Computing: Artificial Neural Networks

Lecture 45 - AI/ML Computing: Working of ANNs

Lecture 46 - AI/ML Computing: Backpropagation, Inference and Architectures in ANNs

Lecture 47 - AI/ML Computing: Convolution

Lecture 48 - AI/ML Computing: Convolutional Neural Networks

Lecture 49 - AI/ML Computing: Bottlenecks of AI/ML Computing

Lecture 50 - Neuromorphic Computing: Introduction

Lecture 51 - Neuromorphic Computing: The Biological Insipration

Lecture 52 - Neuromorphic Computing: Implementation of Neurons in Hardware

Lecture 53 - Neuromorphic Computing: Synaptic Plasticity

Lecture 54 - Neuromorphic Computing: Hardware Implementation of Synapses

Lecture 55 - SNNs and IMC: Operations in a Spiking Neural Network

Lecture 56 - SNNs and IMC: Unsupervised and Supervised Training of SNNs

Lecture 57 - SNNs and IMC: Implementations of SNNs

Lecture 58 - SNNs and IMC: Digital In-Memory Computing

Lecture 59 - SNNs and IMC: Analog In-Memory Computing

Lecture 60 - Overview, Roadmap and Acknowledgements