Radio Frequency Interference Detection
The process of identifying and mitigating unwanted radio frequency signals that can disrupt data collection in radio astronomy.
Category: General AI/ML
Maximal Splitting
A novel greedy algorithm for partitioning large neural networks onto resource-constrained hardware to optimize performance.
Spike-based reinforcement learning
A form of reinforcement learning that utilizes spike-based neural coding for decision-making and learning.
Spiking Neural Network
A type of artificial neural network that uses spikes, or discrete events, to represent information, mimicking the way biological neurons communicate.
Neural Engineering Framework (NEF)
A framework for designing and implementing neural networks that can be executed on neuromorphic hardware.
Mixed-signal computation
A computation method that combines both analog and digital signals to perform processing tasks.
Directed Graph
A graph where edges have a direction, representing relationships between nodes that can evolve over time.
Bellman Memory Units (BMUs)
A neuromorphic architecture that integrates Bellman equations for reinforcement learning, enabling dynamic network topology evolution.
Interpretable Algorithm Design
The process of designing algorithms in a way that their workings and decisions can be easily understood.
Problem-Class Descriptors
Descriptors that characterize the properties of problem classes to aid in understanding algorithm behavior.