research
∙
09/15/2023
A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge
Extreme edge platforms, such as in-vehicle smart devices, require effici...
share
research
∙
05/24/2023
A Game-Theoretic Framework for AI Governance
As a transformative general-purpose technology, AI has empowered various...
research
∙
03/23/2023
NVAutoNet: Fast and Accurate 360^∘ 3D Perception For Self Driving
Robust real-time perception of 3D world is essential to the autonomous v...
research
∙
02/03/2023
PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications
Posit has been a promising alternative to the IEEE-754 floating point fo...
research
∙
10/28/2022
BEBERT: Efficient and robust binary ensemble BERT
Pre-trained BERT models have achieved impressive accuracy on natural lan...
research
∙
10/25/2022
Modular Software for Real-Time Quantum Control Systems
Real-time control software and hardware is essential for operating quant...
research
∙
10/21/2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
One key challenge for multi-task Reinforcement learning (RL) in practice...
research
∙
08/12/2022
An Algorithm-Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers
The Transformer has been an indispensable staple in deep learning. Howev...
research
∙
08/03/2020
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
In autonomous driving, accurately estimating the state of surrounding ob...
research
∙
06/25/2020
On Integrated Access and Backhaul Networks: Current Status and Potentials
In this paper, we introduce and study the potentials and challenges of i...
research
∙
12/03/2019
Real-Time Panoptic Segmentation from Dense Detections
Panoptic segmentation is a complex full scene parsing task requiring sim...
research
∙
09/06/2019
Training Deep Neural Networks Using Posit Number System
With the increasing size of Deep Neural Network (DNN) models, the high m...
research
∙
01/18/2018
NAE-SAT-based probabilistic membership filters
Probabilistic membership filters are a type of data structure designed t...
research
∙
09/12/2017