High speed cognitive domain ontologies for asset allocation using loihi spiking neurons
C Yakopcic, N Rahman, T Atahary… - … Joint Conference on …, 2019 - ieeexplore.ieee.org
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact at real time with their environment and are generally heavily …
making. These systems interact at real time with their environment and are generally heavily …
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators
There is increasing demand for specialized hardware for training deep neural networks
(DNNs), both in edge/IoT environments and in high-performance computing systems. The …
(DNNs), both in edge/IoT environments and in high-performance computing systems. The …
High Speed Approximate Cognitive Domain Ontologies for Asset Allocation based on Isolated Spiking Neurons
C Yakopcic, T Atahary, TM Taha… - NAECON 2018-IEEE …, 2018 - ieeexplore.ieee.org
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact at real time with their environment and are generally heavily …
making. These systems interact at real time with their environment and are generally heavily …
High Speed Approximate Cognitive Domain Ontologies for Constrained Asset Allocation based on Spiking Neurons
C Yakopcic, N Rahman, T Atahary… - 2019 IEEE National …, 2019 - ieeexplore.ieee.org
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact at real time with their environment and are generally heavily …
making. These systems interact at real time with their environment and are generally heavily …
[图书][B] Low Power Based Cognitive Domain Ontology Solving Approaches
MN Rahman - 2021 - search.proquest.com
The demand for autonomous systems is increasing in multiple domains, including mobile
systems (UAVs, cars, and robots) and planning systems, as it improves the performance of …
systems (UAVs, cars, and robots) and planning systems, as it improves the performance of …
Spiking Neural Network for Asset Allocation Implemented Using The TrueNorth System
C Yakopcic, N Rahman, T Atahary… - 2019 IEEE Cognitive …, 2019 - ieeexplore.ieee.org
Asset allocation is a compute intensive combinatorial optimization problem commonly
tasked to autonomous decision making systems. However, cognitive agents interact in real …
tasked to autonomous decision making systems. However, cognitive agents interact in real …
Cognitive Domain Ontologies Based on Loihi Spiking Neurons Implemented Using a Confabulation Inspired Network
C Yakopcic, J Freeman, TM Taha… - 2019 IEEE Cognitive …, 2019 - ieeexplore.ieee.org
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact at real time with their environment and are generally heavily …
making. These systems interact at real time with their environment and are generally heavily …
Cognitive domain ontologies: HPCs to ultra low power neuromorphic platforms
The Cognitively Enhanced Complex Event Processing (CECEP) agent-based decision-
making architecture is being developed at AFRL/RHCI [1]. Within this agent, the Cognitive …
making architecture is being developed at AFRL/RHCI [1]. Within this agent, the Cognitive …