This whitepaper explores how AI is disrupting the medical record review industry, detailing algorithms and approaches to significantly improve the efficiency and ROI of the...
Research papers, white papers, and technical documents available for download.
This paper examines how a hijacked Advanced Metering Infrastructure (AMI) network might be used to instigate widespread blackouts, and the physical barriers that the electrical...
This doctoral dissertation explores the phenomenon of catastrophic interference in neural networks, where learning new information destroys previously acquired knowledge. We introduce the Fixed Expansion...
This paper introduces a solution for mitigating catastrophic forgetting in RNNs based on enhancing the Fixed Expansion Layer (FEL) neural network which exploits sparse coding...
This paper presents the fixed expansion layer (FEL) feedforward neural network designed for balancing plasticity and stability in the presence of non-stationary inputs. The FEL...
This MS project report presents a novel approach to inferring the neighborhood functions of cellular automata using evolutionary algorithms. The work implements a discrete event...
This work introduces a method for predicting brain tumor growth by identifying functional masks for the tumor with high predictive power and learning parameters that...
This paper introduces the Fixed Expansion Layer (FEL) neural network, which embeds a sparsely encoding hidden layer to help mitigate forgetting of prior learned representations....
This paper presents a Deep SpatioTemporal Inference Network (DeSTIN) - a scalable deep learning architecture that relies on a combination of unsupervised learning and Bayesian...