On October 11th, 2019, Dr. Paul Roosenbloom, distinguished speaker from Lockheed Martin delivered a talk on ” Three Related takes on investigating Human-like intelligence”. This talk explored a trio of related takes on how to investigate the nature of human-like intelligence. The first concerns cognitive architectures – implemented models of the fixed structure and processes that yield natural and artificial minds – with a drill down to Sigma, an attempt at a deep synthesis across what has been learned over the past four decades on (what started as) high-level symbolic cognitive architectures versus the low-level graphical/network technologies of probabilistic graphical models (such as Bayesian networks) and neural networks. The second concerns a more abstract attempt at specifying a Common Model of Cognition that yields an evolving community consensus over what must be part of any cognitive architecture for human-like intelligence. The final take concerns an even more abstract (and speculative) attempt at understanding more deeply the space of approaches to intelligence – framed as maps resulting from cross products among core cognitive dichotomies – along with how such maps may help to understand and structure the capabilities required for (human-like) intelligence.
This event was attended by more than 100 members spilling out into the hallway.
On October 3, 2019, Dr. Francis Ferraro presented a workshop for the National Science Foundation Graduate Research Fellowship Program (NSF GRFP). During the workshop, Dr. Ferraro covered many topics including scholarship eligibility, funding, and the application process. He also provided a detailed application checklist as well as suggestions for developing personal and research statements. In addition to giving information about the NSF GRFP, Dr. Ferraro provided an overview of the graduate school experience.
Application deadline for the NSF GRFP is October 22, 2019.
The purpose of the NSF Graduate Research Fellowship Program (GRFP) is to help ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing full-time research-based master’s and doctoral degrees in science, technology, engineering, and mathematics (STEM) or in STEM education. The GRFP provides three years of support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM or STEM education. NSF especially encourages women, members of underrepresented minority groups, persons with disabilities, veterans, and undergraduate seniors to apply.