How can we engineer computing systems with simple forms of perception and judgment? And how can we help cognitive scientists and neuroscientists reverse-engineer those capacities?

Our minds are able to explore vast spaces of possible thoughts, perceptions, and explanations, and identify the probable and useful ones in milliseconds. To emulate these capacities, we are building a new generation of probabilistic computing systems that integrate probability and randomness into the basic building blocks of software and hardware. We have discovered that this approach leads to surprising new AI capabilities, and are exploring them via a combination of academic research and entrepreneurship. We also carry out basic research on the mathematical foundations of probabilistic computation. We make our work as freely available as possible via open-source software, public workshops, and online educational materials, and we collaborate with industry and non-profit partners on applications in the public interest.

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