The stacked sparse autoencoder is a powerful deep learning architecture composed of multiple autoencoder layers, with each layer responsible for extracting features at different levels.

Numenta has achieved greater than 100x performance improvements on inference tasks in deep learning networks without loss of accuracy.

REDWOOD CITY, Calif., May 21, 2021 — Numenta, Inc. announced it has achieved greater than 100x performance improvements on inference tasks in deep learning networks without any loss in accuracy. In a ...

Article Highlight | 3-Nov-2023 Deep variational autoencoder for proteomics mass spectrometry data analysis Research image: Figure 1. Schematic diagram of Dear-DIA. view more Credit: Research ...

Numenta announced a technology demonstration showing their brain-derived sparse networks perform inference tasks 50x faster than dense networks.