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

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

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 ...

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...