Lifelong learning will power next generation of autonomous devices
Look up “lifelong learning” online, and you’ll find a laundry list of apps to teach you how to quilt, play chess or even speak a new language. Within the emerging fields of artificial intelligence (AI) and autonomous devices, however, “lifelong learning” means something different—and it is a bit more complex. It refers to the ability of a device to continuously operate, interact with and learn from its environment—on its own and in real time.
While many automotive companies are now invested in the development of self-driving cars, the vehicles created so far have not yet attained the safety levels necessary for them to be deployed on a large-scale. For this to happen, the vehicles will need to be able to tackle a wide variety…
This paper was accepted at "Reinforcement Learning for Real Life" workshop at NeurIPS 2022. Advancements in reinforcement learning (RL) have inspired new directions in intelligent automation of network defense. However, many of these advancements have either outpaced their application to network security or have not considered the challenges associated with…
Semi-autonomous and autonomous robots are being introduced in a growing number of real-world environments, including industrial settings. Industrial robots could speed up the manufacturing of various products by assisting human workers with basic tasks and lightening their workload.