Archives: Presentations

Forward Learning with Top-Down Feedback: Solving the Credit Assignment Problem without a Backward Pass

Merging insights from artificial and biological neural networks for neuromorphic edge intelligence

Should Tiny ML Processors be Multi-core?

Smart, open and accurate: sensors in the sustainable Onlife era

Data Pre-processing on Sensor Nodes for Predictive Maintenance

Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing For Event-Based and Frame-Based Cameras: ColibriUAV and Eye-tracking

Coupled Excitable Systems – A new perspective on living neural networks

Multi-armed Bandit on System-on-Chip: Go Frequentist or Bayesian?

tinyML Builds with Stuart Feffer

Low Precision Inference and Training for Deep Neural Networks