(Nanyang Technological University, University of Warwick), Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks. Ground Texture Based Localization: Do We Need to Detect Keypoints? ), Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference. (National Tsing Hua University, University of Electronic Science and Technology of China, ASU, Georgia Tech), A Reconfigurable RRAM Physically Unclonable Function Utilizing PostProcess Randomness Source with <6×10-6 Native Bit Error Rate. (University of Minnesota, TAMU), On Quality Trade-off Control for Approximate Computing using Iterative Training. (Princeton), ExTensor: An Accelerator for Sparse Tensor Algebra. Found insideThis volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt âBiomarkersâ for prevention, diagnosis, and treatment responses in mental health conditions. Exploration of thinking that is inspired, supported, and enabled by computing. (University of Rochester), The Microarchitecture of a Real-time Robot Motion Planning Accelerator. (Georgia Tech), CIM-Spin: A 0.5-to-1.2V Scalable Annealing Processor Using Digital Compute-In-Memory Spin Operators and Register-Based Spins for Combinatorial Optimization Problems. Inter-thread Communication in Multithreaded, Reconfigurable Coarse-grain Arrays. (Rice University), Cambricon: An Instruction Set Architecture for Neural Networks. Welcome to follow our github and our WeChat Public Platform Account ( paopaorobot_slam ). (UCSD), Xilinx Adaptive Compute Acceleration Platform: Versal Architecture. If nothing happens, download Xcode and try again. There was a problem preparing your codespace, please try again. (Renesas), In-Memory Reinforcement Learning with ModeratelyStochastic Conductance Switching of Ferroelectric Tunnel Junctions. Numerous sources of medical images (e.g., X-ray, CT, and MRI) make deep learning a great technique to combat the COVID-19 outbreak. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding ... (Princeton), Energy-Efficient Video Processing for Virtual Reality. Zikun Yang, Paul Bogdan, Shahin Nazarian â. (University of Michigan, Intel) BRein Memory: A 13-Layer 4.2 K Neuron/0.8 M Synapse Binary/Ternary Reconfigurable In-Memory Deep Neural Network Accelerator in 65 nm CMOS. (Purdue), Rescuing Memristor-based Neuromorphic Design with High Defects. Found inside â Page 2036(2), 72â75 (2008) H.M. Keshk, X. Yin, Satellite super-resolution images depending on deep learning methods: a ... 2017.8242625 A. Tsakmalis, S. Chatzinotas, B. Ottersten, Automatic modulation classification for adaptive power control ... (Stanford), CoNDA: Enabling Efficient Near-Data Accelerator Communication by Optimizing Data Movement. (KAIST), A 502GOPS and 0.984mW Dual-Mode ADAS SoC with RNN-FIS Engine for Intention Prediction in Automotive Black-Box System. (Rochester, Georgia Tech, ARM), Feature-Driven and Spatially Folded Digital Neurons for Efficient Spiking Neural Network Simulations. (USC), Optimizing Stochastic Computing for Low Latency Inference of Convolutional Neural Networks. I'm trying to further improve the architecture for ultra low-power compting. Reno: A Highly-Efficient Reconfigurable Neuromorphic Computing Accelerator Design. Found inside â Page iThis open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international ... Speech synthesis is the artificial production of human speech.A computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware products. (Drexel Univ., ETHZ), Tachyum Cloud Chip for Hyperscale workloads, deep ML, general, symbolic and bio AI. (PSU, TOBB University of Economics and Technology), RC-NVM: Enabling Symmetric Row and Column Memory Accesses for In-Memory Databases. Work fast with our official CLI. This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. (TSMC）, A 20nm 6GB Function-In-Memory DRAM, Based on HBM2 with a 1.2TFLOPS Programmable Computing Unit Using Bank-Level Parallelism, for Machine Learning Applications. (UIUC, NVIDIA), Efficient SpMV Operation for Large and Highly Sparse Matrices Using Scalable Multi-Way Merge Parallelization. Recently we will classify these papers by topics. (UW Madison), EVA^2: Exploiting Temporal Redundancy in Live Computer Vision. (Duke), Fault injection attack on deep neural network. Learn more. Found insideThis book gives an overview of singular spectrum analysis (SSA). (University of Pittsburgh, Duke), Towards Aging-induced Approximations. (EPFL), Considerations of Integrating Computing-In-Memory and Processing-In-Sensorinto Convolutional Neural Network Accelerators for Low-Power Edge Devices. (Stanford), LogCA: A High-Level Performance Model for Hardware Accelerators. (George Washington), Designing Vertical Processors in Monolithic 3D. We would like to show you a description here but the site wonât allow us. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. (ETHZ), ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration. Paperback. The second IFAC/IFIP/Eur Ag Eng workshop on AI in agriculture provided a forum for the presentation of new research, development and applications of AI in agriculture. This is an example of supervised learning. Propose CoSMIC, a full computing stack constituting language, compiler, system software, template architecture, and circuit generators, that enable programmable acceleration of learning at scale. (UCLA, Bell Labs), A 126.1mW Real-Time Natural UI/UX Processor with Embedded Deep Learning Core for Low-Power Smart Glasses Systems. (NTHU, TSMC）, eDRAM-CIM: Compute-In-Memory Design with Reconfigurable Embedded-Dynamic-Memory Array Realizing Adaptive Data Converters and Charge-Domain Computing. Before joining UCSB, I received my Ph.D. degree from the Institute of Microelectronics, Tsinghua University. (Brno University of Technology, Brno University of Technology), Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization. We would like to show you a description here but the site wonât allow us. (ETHZ), Déjà View: Spatio-Temporal Compute Reuse for Energy-Efficient 360° VR Video Streaming. Work fast with our official CLI. All for free. Use Git or checkout with SVN using the web URL. (Nanyang）, DiAG: A Dataflow-inspired Architecture for General-purpose Processors. (THU, NTHU), A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study. Reinforcement Co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware, Scaling Laws for Parallel Motor-Gearbox Arrangements, Passivity Filter for Variable Impedance Control, Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks, Template-Based Optimal Robot Design with Application to Passive-Dynamic Underactuated Flapping, Interactive Movement Primitives: Planning to Push Occluding Pieces for Fruit Picking, Modeling Cable-Driven Joint Dynamics and Friction: A Bond-Graph Approach, Verification of System-Wide Safety Properties of ROS Applications, Real-Time Detection of Broccoli Crops in 3D Point Clouds for Autonomous Robotic Harvesting, Understanding Contexts Inside Robot and Human Manipulation Tasks through Vision-Language Model and Ontology System in Video Streams, Representing Spatial Object Relations As Parametric Polar Distribution for Scene Manipulation Based on Verbal Commands, Z-Net: An Anisotropic 3D DCNN for Medical CT Volume Segmentation, Analysis, Development and Evaluation of Electro-Hydrostatic Technology for Lower Limb Prostheses Applications, Proprioceptive Sensor Fusion for Quadruped Robot State Estimation, Model Identification of a Small Omnidirectional Aquatic Surface Vehicle: A Practical Implementation, Reducing the Teleoperator's Cognitive Burden for Complex Contact Tasks Using Affordance Primitives, Point Cloud Based Reinforcement Learning for Sim-To-Real and Partial Observability in Visual Navigation, A Novel Inverse Kinematics Method for Upper-Limb Exoskeleton under Joint Coordination Constraints, Closing the Loop: Real-Time Perception and Control for Robust Collision Avoidance with Occluded Obstacles, Brainless Running: A Quasi-Quadruped Robot with Decentralized Spinal Reflexes by Solely Mechanical Devices, Unsupervised Learning of Dense Optical Flow, Depth and Egomotion with Event-Based Sensors, Autonomous Robot Navigation Based on Multi-Camera Perception, Improving Motion Planning for Surgical Robot with Active Constraints, Graduated Assignment Graph Matching for Realtime Matching of Image Wireframes, Integrating Model Predictive Control and Dynamic Waypoints Generation for Motion Planning in Surgical Scenario, Hierarchical Optimization Control of Redundant Manipulator for Robot-Assisted Minimally Invasive Surgery, Variable Pitch System for the Underwater Explorer Robot UX-1, Real-Time Optimal Control of an Autonomous RC Car with Minimum-Time Maneuvers and a Novel Kineto-Dynamical Model, PillarFlowNet: A Real-time Deep Multitask Network for LiDAR-based 3D Object Detection and Scene Flow Estimation, Intelligent Exploration and Autonomous Navigation in Confined Spaces, Model Identification of a Soft Robotic Neck, MHYRO: Modular HYbrid RObot for Contact Inspection and Maintenance in Oil&gas Plants, Auditory Feedback Effectiveness for Enabling Safe Sclera Force in Robot-Assisted Vitreoretinal Surgery: A Multi-User Study, Towards Micro Robot Hydrobatics: Vision-based Guidance, Navigation, and Control for Agile Underwater Vehicles in Confined Environments, A Decentralized Framework for Simultaneous Calibration, Localization and Mapping with Multiple LiDARs, Real-Time Detection of Distracted Driving Using Dual Cameras, A Biomimetic Tactile Fingerprint Induces Incipient Slip, Model Quality Aware RANSAC: A Robust Camera Motion Estimator, Synchrono: A Scalable, Physics-Based Simulation Platform for Testing Groups of Autonomous Vehicles And/or Robots, Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders, Towards Vision-Based Impedance Control for the Contact Inspection of Unknown Generically-Shaped Surfaces with a Fully-Actuated UAV, Squash-Box Feasibility Driven Differential Dynamic Programming, SGM-MDE: Semi-Global Optimization for Classification-Based Monocular Depth Estimation, Safety Considerations in Deep Control Policies with Safety Barrier Certificates under Uncertainty, Asynchronous Event-Based Line Tracking for Time-To-Contact Maneuvers in UAS, RobotVQA ' a Scene-Graph and Deep-Learning-Based Visual Question Answering System for Robot Manipulation, A Model-Free Solution for Stable Balancing and Locomotion of Floating-Base Legged Systems, Label Efficient Visual Abstractions for Autonomous Driving, Control Interface for Hands-Free Navigation of Standing Mobility Vehicles Based on Upper-Body Natural Movements, Resonating Magnetic Manipulation for 3D Path-Following and Blood Clot Removal Using a Rotating Swimmer, Distilling Location Proposals of Unknown Objects through Gaze Information for Human-Robot Interaction, Visualization of Intended Assistance for Acceptance of Shared Control, Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration, Learning Accurate and Human-Like Driving Using Semantic Maps and Attention, Designing Environments Conducive to Interpretable Robot Behavior, Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning, Reactive Receding Horizon Planning and Control for Quadrotors with Limited On-Board Sensing, SelfieDroneStick: A Natural Interface for Quadcopter Photography, Localization and Force-Feedback with Soft Magnetic Stickers for Precise Robot Manipulation, Robust Monocular Edge Visual Odometry through Coarse-To-Fine Data Association, TartanAir: A Dataset to Push the Limits of Visual SLAM, An SEM-Based Nanomanipulation System for Multi-Physical Characterization of Single InGaN/GaN Nanowires, Line Walking and Balancing for Legged Robots with Point Feet, Robust Gait Synthesis Combining Constrained Optimization and Imitation Learning, Edge-Based Visual Odometry with Stereo Cameras Using Multiple Oriented Quadtrees, Monocular Localization in HD Maps by Combining Semantic Segmentation and Distance Transform, Optimal Design of a Novel Spherical Scissor Linkage Remote Center of Motion Mechanism for Medical Robotics, Adversarial Generation of Informative Trajectories for Dynamics System Identification, Robust and Efficient Object Change Detection by Combining Global Semantic Information and Local Geometric Verification, Bounded Sub-Optimal Multi-Robot Path Planning Using Satisfiability Modulo Theory (SMT) Approach, Haptic Knowledge Transfer between Heterogeneous Robots Using Kernel Manifold Alignment, Competitive Coverage: (Full) Information As a GameChanger, Expressing Diverse Human Driving Behavior with ProbabilisticRewards and Online Inference, Generalizing Learned Manipulation Skills in Practice, GR-SLAM: Vision-Based Sensor Fusion SLAM for Ground Robots on Complex Terrain, Automatic Gait Pattern Selection for Legged Robots, Learning Vision-Based Physics Intuition Models for Non-Disruptive Object Extraction, Lane-Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention Over Lanes, Robotic Table Tennis with Model-Free Reinforcement Learning, Consistent Covariance Pre-Integration for Invariant Filters with Delayed Measurements, Model-Based Specification of Control Architectures for Compliant Interaction with the Environment, Perception-Aware Path Finding and Following of Snake Robot in Unknown Environment, 3D Coating Self-Assembly for Modular Robotic Scaffolds, Understanding Dynamic Scenes Using Graph Convolution Networks, Monocular Depth Prediction through Continuous 3D Loss, Peg-In-Hole Using 3D Workpiece Reconstruction and CNN-Based Hole Detection, Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles Using 3D LiDAR, Non-linear control under state constraints with validated trajectories for a mobile robot towing a trailer, ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows, A Unique Identifier Assignment Method for Distributed Modular Robots, A Framework for Real-Time and Personalisable Human Ergonomics Monitoring, Bio-Inspired Inverted Landing Strategy in a Small Aerial Robot Using Policy Gradient, Walking on TacTip Toes: A Tactile Sensing Foot for Walking Robots, Event-Based PID Controller Fully Realized in Neuromorphic Hardware: A One DoF Study, Modality-Buffet for Real-Time Object Detection, Traffic Control Gesture Recognition for Autonomous Vehicles, Emergent Adaptive Gait Generation through Hebbian Sensor-Motor Maps by Morphological Probing, PnuGrip: An Active Two-Phase Gripper for Dexterous Manipulation, robo-gym ' An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots, LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking, Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration, Autonomous model-based assessment of mechanical failures of reconfigurable modular robots with a Conjugate Gradient solver, Spiking Neurons Ensemble for Movement Generation in Dynamically Changing Environments, Terrain-Adaptive Planning and Control of Complex Motions for Walking Excavators, Gimme Signals: Discriminative Signal Encoding for Multimodal Activity Recognition, Goal-Driven Variable Admittance Control for Robot Manual Guidance, A Scalable Framework for Robust Vehicle State Estimation with a Fusion of a Low-Cost IMU, the GNSS, Radar, a Camera and Lidar, Joint Feature Selection and Time Optimal Path Parametrization for High Speed Vision-Aided Navigation, Multi-Task Deep Learning for Depth-Based Person Perception in Mobile Robotics, Online Explanation Generation for Planning Tasks in Human-Robot Teaming, CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes, Real-World Human-Robot Collaborative Reinforcement Learning, Kinodynamic Motion Planning for Multi-Legged Robot Jumping Via Mixed-Integer Convex Program, Who Make Drivers Stop?
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