Moved into Boston

[Jeff Read]

Color me intrigued -- it certainly does seem interesting, and potentially
unifies symbol and logic based GOFAI with the "throw more statistics at the
problem" school that currently encompasses "AI" as a buzzword. If we're
still on for August 15 I would love to attend as I think I would learn much.

Bikeshed issue: You may wish to consider revising the title of your talk.
"Make X great again" is considered "normalizing hate speech" and very
offensive, therefore unacceptable by 2019 professional standards. Major
open-source conferences will reject a talk proposal with such a title, and
some may preëmptively ban you from the con entirely for proposing it.
Source: https://mobile.twitter.com/aurynn/status/1128053124323655680

It may not be an issue among us (Faré may even like it, and relish a twist
of the old knife), but among less laid-back groups and conferences it can
be severely career-limiting.


On Mon, Jul 29, 2019, 7:33 AM Masataro Asai <guicho2.71828 at gmail.com> wrote:

> Thank you for the invitation :)
>
> August 15th should work, but I need to confirm the schedule in the
> company, which I cannot check now until I complete the onboarding
> process of US IBM (although I have been in IBM Japan for quite a while...)
>
> Will they be posted on any sort of MIT bulletin board? Is it more of an
> academic event? That might need a permission from the manager. For an
> informal meeting it should be fine.
>
> Blurb meaning the short description / abstract of the talk? Let me give
> a try...
>
> For myself:
>
> Masataro Asai, aka guicho271828, is a Lisp hacker with 11 years of
> experience in Common Lisp, who received a Ph.D in Artificial
> Intelligence from the University of Tokyo. He is an expert in heuristic
> graph search and automated planning and scheduling, also known as AI
> Planning, with publications records on top AI conferences e.g. AAAI,
> IJCAI, ICAPS. Author of a fast pattern match library Trivia, a numerical
> computation library NUMCL (which got 400 stars) and more.
>
> For the talk:
>
> Title: Make Symbols Great Again!: Classical PDDL/STRIPS Planning in Deep
> Latent Space
>
> Domain-independent classical planners require the symbolic models of the
> problem domain and instance as input, resulting in a knowledge
> acquisition bottleneck. Meanwhile, although deep learning has achieved
> significant success in many fields, the knowledge is encoded in a
> subsymbolic representation which is incompatible with symbolic systems
> such as planners. We introduce LatPlan, an unsupervised architecture
> combining deep learning and classical planning. Given only an unlabeled
> set of image pairs showing a subset of transitions allowed in the
> environment (training inputs), and a pair of images representing the
> initial and the goal states (planning inputs), LatPlan finds a plan to
> the goal state in a symbolic latent space and returns a visualized plan
> execution.
>
> In the talk, we also survey the recent progress in the related fields
> and also informally talk about my future ambitions.
>
> Regards
> Masataro
>
>
> Faré wrote:
> > Congratulations!
> >
> > Let's summon a Boston Lisp Meeting to greet you.
> > How about Thursday August 15th at 1800?
> >
> > I'll try to reserve a room at MIT. Either way, we can meet for dinner
> > afterwards.
> >
> > Can you give a speech on some topic of your choice? Otherwise is there
> > any other candidate?
> > Can you give me a one-paragraph blurb about yourself, another one
> > about your topic?
> >
> > —♯ƒ • François-René ÐVB Rideau •Reflection&Cybernethics•
> http://fare.tunes.org
> > Genius is one percent inspiration and ninety-nine percent perspiration.
> >                  — Thomas Alva Edison
> >
> > On Sun, Jul 28, 2019 at 7:27 AM Masataro Asai <guicho2.71828 at gmail.com>
> wrote:
> >>
> >> Dear all,
> >>
> >> I just moved to Boston yesterday. 5yr assignment.
> >> Thanks
> >>
> >> --
> >> Masataro Asai Ph.D
> >>
> >> Research Staff Member
> >> IBM Research
> >>
> >> Tel: +81-44-856-9009
> >> Mobile: +81-50-5534-1357
> >> Mail: guicho2.71828 at gmail.com
> >> Website: http://guicho271828.github.io/
> >>
>
> --
> Masataro Asai Ph.D
>
> Research Staff Member
> IBM Research
>
> Tel: +81-44-856-9009
> Mobile: +81-50-5534-1357
> Mail: guicho2.71828 at gmail.com
> Website: http://guicho271828.github.io/
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.common-lisp.net/pipermail/boston-lisp/attachments/20190801/766289db/attachment.html>