Scenario-Aware Control Plane
A control mechanism that adapts to different operational scenarios to optimize resource utilization and minimize overhead in communication systems.
A control mechanism that adapts to different operational scenarios to optimize resource utilization and minimize overhead in communication systems.
An integrated approach to designing hardware and software systems together to optimize performance and efficiency.
A communication architecture that allows for efficient data transfer in neuromorphic systems by dynamically managing segments of the bus based on activity levels.
The process of identifying and mitigating unwanted radio frequency signals that can disrupt data collection in radio astronomy.
Computing hardware designed to mimic the neural structure and functioning of the human brain, often used for energy-efficient processing of neural networks.
A novel greedy algorithm for partitioning large neural networks onto resource-constrained hardware to optimize performance.
A form of reinforcement learning that utilizes spike-based neural coding for decision-making and learning.
A type of artificial neural network that uses spikes, or discrete events, to represent information, mimicking the way biological neurons communicate.
A framework for designing and implementing neural networks that can be executed on neuromorphic hardware.
A computation method that combines both analog and digital signals to perform processing tasks.