IEEE Journal on Emerging and Selected Topics in Circuits and Systems

An Optimal Tile-Based Approach for Viewport-Adaptive 360-Degree Video Streaming

A Two-Tier System for On-Demand Streaming of 360 Degree Video Over Dynamic Networks

Light Field Image Compression Using Generative Adversarial Network-Based View Synthesis

Delay Impact on MPEG OMAF’s Tile-Based Viewport-Dependent 360° Video Streaming

Low-Power Computer Vision: Status, Challenges, and Opportunities

Standardization Status of Immersive Video Coding

EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators

Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine

Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

Prediction of the Influence of Navigation Scan-Path on Perceived Quality of Free-Viewpoint Videos

Pre-Defined Sparse Neural Networks With Hardware Acceleration

E-LSTM: An Efficient Hardware Architecture for Long Short-Term Memory

An In-memory-Computing DNN Achieving 700 TOPS/W and 6 TOPS/mm2 in 130-nm CMOS

A Programmable Hyper-Dimensional Processor Architecture for Human-Centric IoT

Spherical Coordinates Transform-Based Motion Model for Panoramic Video Coding

Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration

MAX2: An ReRAM-Based Neural Network Accelerator That Maximizes Data Reuse and Area Utilization

Efficient Network Construction Through Structural Plasticity

ReRAM-Based In-Memory Computing for Search Engine and Neural Network Applications

Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity

Development and Validation of an EEG-Based Real-Time Emotion Recognition System Using Edge AI Computing Platform With Convolutional Neural Network System-on-Chip Design

Breaking High-Resolution CNN Bandwidth Barriers With Enhanced Depth-First Execution

Realtime 3D 360-Degree Telepresence With Deep-Learning-Based Head-Motion Prediction

360° Video Coding Based on Projection Format Adaptation and Spherical Neighboring Relationship

Neural State Machines for Robust Learning and Control of Neuromorphic Agents

Input-Aware Flow-Based Computing on Memristor Crossbars With Applications to Edge Detection

Sensitivity-Based Error Resilient Techniques With Heterogeneous Multiply–Accumulate Unit for Voltage Scalable Deep Neural Network Accelerators

FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training

An Assigned Color Depth Packing Method With Centralized Texture Depth Packing Formats for 3D VR Broadcasting Services

MADS: A Framework for Design and Implementation of Adaptive Digital Predistortion Systems

Memory-Reduced Network Stacking for Edge-Level CNN Architecture With Structured Weight Pruning

Incremental Learning of Hand Symbols Using Event-Based Cameras

CNNP-v2: A Memory-Centric Architecture for Low-Power CNN Processor on Domain-Specific Mobile Devices

CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control

An Unobtrusive System for Heart Rate Monitoring Based on Ballistocardiogram Using Hilbert Transform and Viterbi Decoding

Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview

Enabling Non-Hebbian Learning in Recurrent Spiking Neural Processors With Hardware-Friendly On-Chip Intrinsic Plasticity

Byzantine-Tolerant Inference in Distributed Deep Intelligent System: Challenges and Opportunities

OmniCast: Wireless Pseudo-Analog Transmission for Omnidirectional Video

Dropout and DropConnect for Reliable Neuromorphic Inference Under Communication Constraints in Network Connectivity

Tightly Coupled Machine Learning Coprocessor Architecture With Analog In-Memory Computing for Instruction-Level Acceleration

A Perspective on Test Methodologies for Supervised Machine Learning Accelerators

iFPNA: A Flexible and Efficient Deep Learning Processor in 28-nm CMOS Using a Domain-Specific Instruction Set and Reconfigurable Fabric

Hematoxylin and Eosin (H&E) Stained Liver Portal Area Segmentation Using Multi-Scale Receptive Field Convolutional Neural Network

Research From the IEEE IBM AI Compute and Emerging Technology Symposia

Hardware Design of a Context-Preserving Filter-Reorganized CNN for Super-Resolution

A Historical Perspective on Hardware AI Inference, Charge-Based Computational Circuits and an 8 bit Charge-Based Multiply-Add Core in 16 nm FinFET CMOS