Incorporating equity and inclusion in the effort toward access for everyone.
W. Richards Adrion, Sarah T. Dunton, Barbara Ericson, Renee Fall, Carol Fletcher, Mark Guzdial Pages 22-25COLUMN: The profession of IT
Creating efficiency in AI research will decrease its carbon footprint and increase its inclusivity as deep learning study should not require the deepest pockets.
Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni Pages 54-63
How to produce a convolutional neural net that is small enough to run on a mobile device, and accurate enough to be worth using? The strategies in "Enabling AI at the Edge with XNOR-Networks" are the best known to date.
David Alexander Forsyth Page 82
We present a novel approach to running state-of-the-art AI algorithms in edge devices, and propose two efficient approximations to standard convolutional neural networks.
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi Pages 83-90
The system described in "SATURN: An Introduction to the Internet of Materials" works passively, energized essentially by static electricity generated as layers move relative to each other during vibration.
Joseph A. Paradiso Page 91
We propose an Internet of Materials, where the very materials of objects and surfaces are augmented or manufactured to have computational capabilities.
Nivedita Arora, Thad Starner, Gregory D. Abowd Pages 92-99COLUMN: Last byte