Wednesday, December 8, 2021

g-f(2)713 THE BIG PICTURE OF THE DIGITAL AGE (12/8/2021), The Harvard Gazette, New University-wide institute to integrate natural, artificial intelligence

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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital age, Artificial Intelligence, Natural and Artificial Intelligence (12/7/2021) 

OPPORTUNITY, The Harvard Gazette 

  • Harvard University on Tuesday launched the Kempner Institute for the Study of Natural and Artificial Intelligence, a new University-wide initiative standing at the intersection of neuroscience and artificial intelligence, seeking fundamental principles that underlie both human and machine intelligence. The fruits of discoveries will flow in both directions, enhancing understanding of how humans think, perceive the world around them, make decisions, and learn, thereby advancing the rapidly evolving field of AI.
  • The institute will be funded by a $500 million gift from Priscilla Chan and Mark Zuckerberg, which was announced Tuesday by the Chan Zuckerberg Initiative.
  • The institute, expected to open at the new Science and Engineering Complex in Allston by the end of 2022, is committed to the active recruitment of individuals from backgrounds traditionally underrepresented in STEM fields. It will be headed by Bernardo Sabatini, the Alice and Rodman W. Moorhead III Professor of Neurobiology at Harvard Medical School, and Sham Kakade, who in January will become a Gordon McKay Professor of Computer Science and Statistics at the Harvard John A. Paulson School of Engineering and Applied Sciences and a professor in the Faculty of Arts and Sciences. With a faculty steering committee made up of faculty across Schools and disciplines, the institute will convene experts in computer science, applied mathematics, neuroscience, cognitive science, statistics, and engineering.

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    Lessons learned, The Harvard Gazette

    • A focus of the institute will be training future generations of leaders and researchers in this area through funding dedicated to supporting undergraduate and graduate students as well as postdoctoral fellows. 
    • The steering committee for the institute: Boaz Barak (SEAS, computer science); Francesca Dominici (Harvard Chan School, biostatistics); Finale Doshi-Velez (SEAS, computer science); Catherine Dulac (FAS, molecular and cellular biology); Robert Gentleman (HMS, computational biomedicine/ biomedical informatics); Sam Gershman (FAS, psychology); Zak Kohane (HMS, biomedical informatics); Susan Murphy (SEAS/FAS, computer science/statistics); Venki Murthy (FAS, molecular and cellular biology); and Fernanda Viégas (SEAS/HBS, computer science).

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    Lessons learned, The Harvard Gazette 

    • SABATINI: It’s important to note that the institute is not only about applications and advancing AI; there’s a fundamental part that is simply about discovering and increasing knowledge. Part of that discovery will be creating computational theories that can explain how our brains work. Once we understand how the brain “computes” and processes information, scientists will be able to eventually understand how those processes go wrong in disease. To do this we will draw from the computational theories that are being developed for understanding how AI works.
      • Second, any time an artificially intelligent agent has to interact with a human, it would be valuable for that agent to know something about the physical world and to have some common sense. We have common sense, and we expect AI to have common sense, but in general, it doesn’t. So I think that’s going to be a great advance.
      • Third are problems that we’re not even sure can be addressed. If we could create AI systems that are much larger and have, for example, access to all medical knowledge or all the structures of proteins, what kinds of new discoveries and intelligent conclusions could it make? Those discoveries could come at the level of understanding disease, discovering new therapies, or simply contributing to knowledge about how the world works. I don’t think we can dream of what those things are yet.

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    • Category 2: The Big Picture of the Digital Age
    • [genioux fact deduced or extracted from The Harvard Gazette]
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    • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
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      • Inherited from sources + Supported by the knowledge of one or more experts.


    “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)713, Fernando Machuca, December 8, 2021, Corporation.


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