MIT Technology Review analyzed 16,625 papers to figure out where AI is headed next (good read)

“The biggest shift we found was a transition away from knowledge-based systems by the early 2000s. These computer programs are based on the idea that you can use rules to encode all human knowledge. In their place, researchers turned to machine learning—the parent category of algorithms that includes deep learning. Among the top 100 words mentioned, those related to knowledge-based systems—like “logic,” “constraint,” and “rule”—saw the greatest decline. Those related to machine learning—like “data,” “network,” and “performance”—saw the highest growth.”

My video on AI:

Author: Gerd Leonhard

In the words of American poet John Berryman, “the possibility that has been overlooked is the future”. Most of us are far too busy coping with present challenges to explore the future in any depth – and when we do our own cravings and fears often run away with us, resulting in utopias or dystopias that are not very helpful in terms of planning and decisions. Today’s professionals, leaders and their organisations need a dedicated, passionate long-term understanding of the future if they are to successfully navigate the exponential waves of change. For countless individuals and organizations that intelligence is called Gerd Leonhard. View all posts by Gerd Leonhard