Researchers Want to Create A “Digital Awakening” and Free AI to Learn Like Humans
As Artificial Intelligence researchers achieve new breakthroughs, we’re seeing increased interest in the potential of AI. Those working within enterprise are examining what processes and systems could be augmented or improved using intelligent agents. Yet, many current AI-powered services generally lack the high-level comprehension and reasoning required to effect truly transformative change. While some existing services can match or beat humans at individual tasks, it’s been hard getting machines to transfer learned knowledge and skills across multiple tasks. Without this transfer, practical applications of AI will remain restricted to one or two domains at a time.
Maluuba Researcher Philip Bachman examines how research in deep and reinforcement learning is endowing machines with the capabilities that can free AI-powered services from their constraints.