Quanta Magazine

Sparse Networks Come to the Aid of Big Physics

Suppose you have a thousand-page book, but each page has only a single line of text. You’re supposed to extract the information contained in the book using a scanner, only this particular scanner ...
The Next Platform

Reimagining Accelerators with Sparsity at the Core

There could be a new era of codesign dawning for machine learning, one that moves away from the training and inference separations and toward far less dense networks with highly sparse weights and ...
Business Wire

Numenta Demonstrates 100x Performance Acceleration in Deep Learning Networks Using Sparse Techniques

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Numenta, Inc. announced it has achieved greater than 100x performance improvements on inference tasks in deep learning networks without any loss in accuracy. In ...
Business Wire

Numenta Demonstrates 50x Speed Improvements on Deep Learning Networks Using Brain-Derived Algorithms

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Using algorithms derived from its neuroscience research, Numenta announced today it has achieved dramatic performance improvements on inference tasks in deep ...
Physics World

Neural networks extract information from sparse datasets

Condensed-matter theorist Gareth Conduit developed an algorithm that can “learn” from incomplete data. His next challenge: turning it into a business Information from data Intellegens chief technology ...