Structure learning and computational efficiency

Learning network connections

CHT updates network connections during training, allowing the model to learn weights and connectivity together.

Evaluating computational efficiency

Model efficiency must be evaluated against task quality, inference latency, memory, energy and cost. SparseMind studies sparse models and works with hardware and systems partners on adaptation and validation.