Now showing items 1-4 of 4
Fast and low-precision learning in GPU-accelerated spiking neural network
(Georgia Institute of Technology, 2020-07-27)
Spiking neural network (SNN) uses biologically inspired neuron model coupled with Spike-timing-dependent-plasticity (STDP) to enable unsupervised continuous learning in artificial intelligence (AI) platform. However, current ...
Toward grounded spatio-temporal reasoning
(Georgia Institute of Technology, 2020-03-18)
To develop an Artificial Intelligence (AI) system that can understand the world around us, it needs to be able to interpret and reason about the world we see and the language we speak. In recent years, there has been a lot ...
4D Reconstruction for Hydroponic Agriculture
(Georgia Institute of Technology, 2021-05-11)
Current plant monitoring practices are quite destructive and wasteful, requiring harvest to measure basic attributes such as weight, nutrient concentrate, etc. With this work, we attempt to develop and evaluate a precise ...
Robust Deep Vision-based Planning and Control Algorithms with Probabilistic Learning
(Georgia Institute of Technology, 2022-04-28)
Decision making for safety-critical systems is challenging due to performance requirements with significant consequences in the event of failure. Data-driven planning and control methods, e.g. using deep neural networks, ...