NSF - Posters

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The Workshop Posters

November 17, 2020

The Best Poster Award was presented to

Jiaqi Gu, Zheng Zhao, Chenghao Feng, Wuxi Li, Ray T. Chen, David Z. Pan

for Poster #13 entitled

FLOPS: Efficient On-Chip Learning for Optical Neural Networks Through Stochastic Zeroth-Order Optimization

Poster #1: A scalable neuromorphic machine learning framework based on the Growth Transform dynamical system
[Poster] [ZOOM Link]

ML_Workshop_Video_Ahana_Gangopadhyay - Ahana Gangopadhyay.mp4

Poster #2: Energy-Efficient Hardware for Embedded Reinforcement Learning
[Poster] [ZOOM Link]

AidinShiri - Aidin Shiri.mp4

Poster #3: Freely Scalable and Reconfigurable Optical Hardware for Deep Learning
[Poster] [ZOOM Link]

NSF Hardware AI Workshop - alex sludds.mp4

Poster #4: SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation Towards Ultra-energy-efficient Intelligent Pacemaker ASICs
[Poster] [ZOOM Link]

SmartExchange poster - Yang Zhao.mp4

Poster #5: A case for Emerging Memories in DNN Accelerators
[Poster] [ZOOM Link]

Poster #5: A case for Emerging Memories in DNN Accelerators.mp4

Poster #6: EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference
[Poster] [ZOOM Link]

NSF_EdgeDRNN - Chang Gao.mp4

Poster #7: HALO: Hardware-Aware Learning to Optimize

[Poster] [ZOOM Link]

HALO_Chaojian - Chaojian Li.mp4

Poster #8: Procrustes: a Dataflow and Accelerator for Sparse Training
[Poster] [ZOOM Link]

procrustes-NSF - Yang William.mp4

Poster #9: ShiftAddNet: A Hardware-Inspired Deep Network
[Poster] [ZOOM Link]

NeurIPS2020_ShiftAddNet_Poster - Haoran You.mp4

Poster #10: A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection
[Poster] [ZOOM Link]

NSF_presentation_hasib - Hasib-Al- Rashid.mp4

Poster #11: Energy-Efficient and Reliable Deep Learning Accelerator Design
[Poster] [ZOOM Link]

Jeff_NSF_5min - Jeff Zhang.mp4

Poster #12: FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
[Poster] [ZOOM Link]

FracTrain - Yonggan Fu.mp4

Poster #13: FLOPS: Efficient On Chip Learning for Optical Neural Networks Through Stochastic Zeroth Order Optimization
[Poster] [ZOOM Link]

NSF_Poster_Gu_v1 - Jiaqi Gu.mp4

Poster #14: Communication Algorithm-Architecture Co-Design for Distributed Deep Learning
[Poster] [ZOOM Link]

multitree-poster-video - Jiayi Huang.mp4

Poster #15: Towards Biophysically-Based Neuromorphic Computing at Scale: Markov Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission
[Poster] [ZOOM Link]

MargotWagner_NSF_ML_Hardware - Margot Wagner.mp4

Poster #16: Training Deep Neural Networks with Over 80% Energy Savings
[Poster] [ZOOM Link]

E2Train.mp4

Poster #17: Online Reinforcement Learning of an Entanglement Witness
[Poster ] [ZOOM Link]

ThompsonNSFMLHW - Nathan Thompson.mp4

Poster #18: Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems
[Poster] [ZOOM Link]

OindrilaChatterjee_NSFvideo - Oindrila Chatterjee.mp4

Poster #19: A universal hybrid quantum neural network

[Poster] [ZOOM Link]

machine_learning_breakth_2020 - Ricardo Rodriguez.mp4

Poster #20: Scalable Time-Multiplexed Optical Neural Networks based on Homodyne Detection
[Poster] [ZOOM Link]

Ryan_poster - Ryan Hamerly.mp4

Poster #21: Characterizing and Mitigating the Impact of Variable Hardware Delays on Deep Reinforcement Learning
[Poster] [ZOOM Link]

Video - Sandeep Singh.mp4

Poster #22: FPGA-based low batch training accelerator for modern CNNs featuring high bandwidth memory

[Poster] [ZOOM Link]

NSF_poster_pitch_talk - Shreyas Kv.mp4

Poster #23: Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning

[Poster] [ZOOM Link]

Somdeb Majumdar_video.mov

Poster #24: An Analytical CNN Energy Model (CNNergy) for Customized DL Hardware and its Application to Neural Computation Partitioning (NeuPart)
[Poster] [ZOOM Link]

Poster_Video_Susmita - Susmita Dey Manasi.mp4

Poster #25: Enabling CV & AI on the edge with milliWatts

[Poster] [ZOOM Link]

NSF Talk shortened - Venkat Rangan.mp4

Poster #26: Reconfigurable RRAM Compute-In-Memory Chip For Energy-Efficient Edge AI Inference
[Poster] [ZOOM Link]

zoom_1 - Weier Wan.mp4

Poster #27: End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection
[Poster] [ZOOM Link]

NSF_Workshop_COUGH - Arnab Mazumder.mp4

Poster #28: Hardware Acceleration of scene perception for robot manipulation
[Poster] [ZOOM Link]

final - Yanqi Liu.mp4

Poster #29: SODALITE: Software Defined Accelerators from Learning Tools Environment
[Poster] [ZOOM Link]

SODALITE_NSF - Jeff Zhang.mp4

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The Workshop Posters

November 17, 2020

The Best Poster Award was presented to

Jiaqi Gu, Zheng Zhao, Chenghao Feng, Wuxi Li, Ray T. Chen, David Z. Pan

for Poster #13 entitled

FLOPS: Efficient On-Chip Learning for Optical Neural Networks Through Stochastic Zeroth-Order Optimization

Poster #1: A scalable neuromorphic machine learning framework based on the Growth Transform dynamical system [Poster] [ZOOM Link]

Poster #2: Energy-Efficient Hardware for Embedded Reinforcement Learning [Poster] [ZOOM Link]

Poster #3: Freely Scalable and Reconfigurable Optical Hardware for Deep Learning [Poster] [ZOOM Link]

Poster #4: SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation Towards Ultra-energy-efficient Intelligent Pacemaker ASICs [Poster] [ZOOM Link]

Poster #5: A case for Emerging Memories in DNN Accelerators [Poster] [ZOOM Link]

Poster #6: EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference [Poster] [ZOOM Link]

Poster #7: HALO: Hardware-Aware Learning to Optimize [Poster] [ZOOM Link]

Poster #8: Procrustes: a Dataflow and Accelerator for Sparse Training [Poster] [ZOOM Link]

Poster #9: ShiftAddNet: A Hardware-Inspired Deep Network [Poster] [ZOOM Link]

Poster #10: A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection [Poster] [ZOOM Link]

Poster #11: Energy-Efficient and Reliable Deep Learning Accelerator Design [Poster] [ZOOM Link]

Poster #12: FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training [Poster] [ZOOM Link]

Poster #13: FLOPS: Efficient On Chip Learning for Optical Neural Networks Through Stochastic Zeroth Order Optimization [Poster] [ZOOM Link]

Poster #14: Communication Algorithm-Architecture Co-Design for Distributed Deep Learning [Poster] [ZOOM Link]

Poster #15: Towards Biophysically-Based Neuromorphic Computing at Scale: Markov Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission [Poster] [ZOOM Link]

Poster #16: Training Deep Neural Networks with Over 80% Energy Savings [Poster] [ZOOM Link]

Poster #17: Online Reinforcement Learning of an Entanglement Witness [Poster ] [ZOOM Link]

Poster #18: Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems [Poster] [ZOOM Link]

Poster #19: A universal hybrid quantum neural network [Poster] [ZOOM Link]

Poster #20: Scalable Time-Multiplexed Optical Neural Networks based on Homodyne Detection [Poster] [ZOOM Link]

Poster #21: Characterizing and Mitigating the Impact of Variable Hardware Delays on Deep Reinforcement Learning [Poster] [ZOOM Link]

Poster #22: FPGA-based low batch training accelerator for modern CNNs featuring high bandwidth memory [Poster] [ZOOM Link]

Poster #23: Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning [Poster] [ZOOM Link]

Poster #24: An Analytical CNN Energy Model (CNNergy) for Customized DL Hardware and its Application to Neural Computation Partitioning (NeuPart) [Poster] [ZOOM Link]

Poster #25: Enabling CV & AI on the edge with milliWatts [Poster] [ZOOM Link]

Poster #26: Reconfigurable RRAM Compute-In-Memory Chip For Energy-Efficient Edge AI Inference [Poster] [ZOOM Link]

Poster #27: End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection [Poster] [ZOOM Link]

Poster #28: Hardware Acceleration of scene perception for robot manipulation [Poster] [ZOOM Link]

Poster #29: SODALITE: Software Defined Accelerators from Learning Tools Environment [Poster] [ZOOM Link]