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Calling for the America at 250 – “A Beacon for the AI Age”

Calling for the America at 250 – “A Beacon for the AI Age”

Dear Friends, Colleagues, and Partners in Leadership, As the United States approaches its 250th anniversary, we stand at a defining moment—one not only for America, but for the entire world. History has shown that when the United States rises to moments of...

Learning to Think: A Ten-Year Perspective

Learning to Think: A Ten-Year Perspective

Ten years ago, Jürgen Schmidhuber introduced the concept of the reinforcement learning (RL) prompt engineer, an adaptive mechanism through which an RL controller learns to actively query a neural world model to support abstract reasoning and decision-making. This...

Toward a machine learning model that can reason about everyday actions

Toward a machine learning model that can reason about everyday actions

Researchers train a model to reach human-level performance at recognizing abstract concepts in video. The ability to reason abstractly about events as they unfold is a defining feature of human intelligence. We know instinctively that crying and writing are means of...

Prime Minister Shinzo Abe and the Boston Global Forum

Prime Minister Shinzo Abe and the Boston Global Forum

A PDF of this letter can be found here. Boston, 28 August 2020   Prime Minister Shinzo Abe Cabinet Secretariat, 1-6-1 Nagata-cho, Chiyoda-ku, Tokyo 100 - 8968, Japan   Dear Prime Minister Abe, We write to offer our respect and to thank you for your work to...

Philosophy’s Tetrad Project Awarded International AI Honor

Philosophy’s Tetrad Project Awarded International AI Honor

The Tetrad Automated Causal Discovery Platform was awarded the Super Artificial Intelligence Leader (SAIL) award at the World Artificial Intelligence Conference held in Shanghai in July. The award recognizes fundamental advances in the basic theory, methods, models...

The Case for Causal AI

The Case for Causal AI

Much of artificial intelligence (AI) in common use is dedicated to predicting people’s behavior. It tries to anticipate your next purchase, your next mouse-click, your next job move. But such techniques can run into problems when they are used to analyze data for...