The objective of the L2M program is to develop technologies necessary to enable a next-generation adaptive artificial intelligence (AI) system capable of continually learning and improving performance in real-world environments while remaining constrained by pre-determined capability limits. Such a system would be able to apply existing knowledge to new circumstances without pre-programming or training sets, and would be able to update its network based on its situation for a variety of applications.

The L2M program aims to develop technology that could support the creation of a new generation of AI systems that learn online, in the field, and based on what they encounter—without having to be taken offline for reprogramming or retraining for new conditions.

The L2M program will combine computer science with biology-inspired principles of learning with the goal of developing the capability to perform continual learning, with a focus on the creation of learning paradigms and evolving networks that learn perpetually through external data and internal goals. Performers will be tasked with developing systems that can demonstrate an ability to learn new tasks without losing capability on previously learned tasks, and can apply previous knowledge to novel situations—and in doing so develop more complex capabilities.


8. China is betting big on the Industrial Internet of Things (IIoT)

China is betting big on the Industrial Internet of Things (IIoT).

The Chinese government projects the country’s Industrial Internet of Things to grow to 450 billion RMB (about $65 billion) by 2020 – occupying roughly one quarter of China’s whole IoT market. The IIoT segment in China has maintained a growth rate of more than 25 percent. At present, Chinese enterprises whose status can be described as Industrial 3.0 know they need a lot of improvements, especially in cost control, production efficiency and process management.