Artificial intelligence is shrinking down to microcontroller size, reports Wired. 

Artificial intelligence has made stunning strides, but it often needs absurd amounts of data and computer power to get there. Now some AI researchers are focused on making the technology as efficient as possible.

IBM is proposing a way to make deep learning less of an energy drain by reducing the bits from 16 to 4, reports MIT Technology Review. 

Deep learning is an inefficient energy hog. It requires massive amounts of data and abundant computational resources, which explodes its electricity consumption. 

Researchers are sending autonomous balloons equipped with AI to monitor the environment, reports Nature. 

The goal of an autonomous machine is to achieve an objective by making decisions while negotiating a dynamic environment