Now showing items 49-51 of 160

    • Flexible Intelligence 

      Liao, Qianli (2020-06-18)
      We discuss the problem of flexibility in intelligence, a relatively little-studied topic in machine learning and AI. Flexibility can be understood as out-of-distribution generalization, and it can be achieved by converting ...
    • Universal Format Conversions 

      Liao, Qianli (2020-06-05)
      Information is the fuel for intelligence. Any competitive intelligence system should be information hungry. “Formats” on the other hand, is the container for information. Accessing information without the ability to decipher ...
    • An Exit Strategy from the Covid-19 Lockdown based on Risk-sensitive Resource Allocation 

      Shalev-Shwartz, Shai; Shashua, Amnon (Center for Brains, Minds and Machines (CBMM), 2020-04-15)
      We propose an exit strategy from the COVID-19 lockdown, which is based on a risk-sensitive levels of social distancing. At the heart of our approach is the realization that the most effective, yet limited in number, resources ...