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Stephen Wolfram on the Current State of Artificial Intelligence – Intel on AI Season 3, Episode 5

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Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Intel on AI host Amir Khosrowshahi talks with Stephen Wolfram about the current state of artificial intelligence. Stephen is the founder and CEO of Wolfram Research, maker of the Wolfram Mathematica software system and WolframAlpha computational knowledge engine, author of A New Kind of Science, and most recently originator of the Wolfram Physics Project, which is a collaborative effort to find the fundamental theory of physics.

In the podcast episode, Stephen talks about the computational universe and the idea that even simple programs possibly have sophisticated abilities under the Principle of Computational Equivalence, but that these abilities are perceived to be useless to humans and therefore underexplored. He discusses the need for shared computational languages that will allow people and machines to mine the wealth of available historic data so that it can be translated into useable knowledge.

Amir and Stephen talk about a number of subjects during their two-hour conversation, including Emanuel Kant, Noam Chomsky, if aliens might view a completely different part of physical reality than humans, encoding values for AI content ranking, and why Stephen left academia to develop his own research institute. Stephen discusses his predictions about the limitations of quantum computing, the potential of computing at the molecular scale, and what comes after semiconductor processing. He also explains why Einstein’s theory of relatively and spacetime is misunderstood. Amir asks Stephen to explain how multiway systems and the biology of neuroscience can be viewed in harmony.

Academic research discussed in the podcast episode:

  continue reading

121 episodes

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Manage episode 321488099 series 3321523
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Intel on AI host Amir Khosrowshahi talks with Stephen Wolfram about the current state of artificial intelligence. Stephen is the founder and CEO of Wolfram Research, maker of the Wolfram Mathematica software system and WolframAlpha computational knowledge engine, author of A New Kind of Science, and most recently originator of the Wolfram Physics Project, which is a collaborative effort to find the fundamental theory of physics.

In the podcast episode, Stephen talks about the computational universe and the idea that even simple programs possibly have sophisticated abilities under the Principle of Computational Equivalence, but that these abilities are perceived to be useless to humans and therefore underexplored. He discusses the need for shared computational languages that will allow people and machines to mine the wealth of available historic data so that it can be translated into useable knowledge.

Amir and Stephen talk about a number of subjects during their two-hour conversation, including Emanuel Kant, Noam Chomsky, if aliens might view a completely different part of physical reality than humans, encoding values for AI content ranking, and why Stephen left academia to develop his own research institute. Stephen discusses his predictions about the limitations of quantum computing, the potential of computing at the molecular scale, and what comes after semiconductor processing. He also explains why Einstein’s theory of relatively and spacetime is misunderstood. Amir asks Stephen to explain how multiway systems and the biology of neuroscience can be viewed in harmony.

Academic research discussed in the podcast episode:

  continue reading

121 episodes

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