Rethinking Artificial Intelligence
MIT News (12/07/09) Chandler, David L.
The Massachusetts Institute of Technology (MIT) is embarking on the
Mind Machine Project (MMP), an initiative led by artificial
intelligence (AI) pioneers to create new breakthroughs by rethinking
fundamental AI assumptions. "Essentially, we want to rewind to 30
years ago and revisit some ideas that had gotten frozen" while fixing
basic mistakes made over the years, says MIT professor Neil
Gershenfeld. He says the MMP aims to specifically address the three
biggest quagmires in AI research--the modeling of thought, the
reliable simulation of memory, and bridging the gap between computer
science and physical science. Tackling the first challenge entails
establishing what Gershenfeld calls "an ecology of models" so that
problem-solving can be facilitated in multiple ways. Addressing the
memory issue involves teaching computers to learn to reason while
incorporating rather than excluding inconsistency and ambiguity. The
third AI research area requires a new programming approach called
reconfigurable asynchronous logic automata, whose goal is to "re-
implement all of computer science on a base that looks like physics,"
representing computations "in a way that has physical units of time
and space, so the description of the system aligns with the system it
represents," Gershenfeld says. One of the projects the MMP group is
developing is a brain co-processor, an assistive system designed to
help people with cognitive disorders by monitoring a person's
activities and brain functions, determining when he or she requires
help, and supplying precisely the right piece of information at the
right time.
Read:
http://web.mit.edu/newsoffice/2009/ai-overview.html
Optimism as Artificial Intelligence Pioneers Reunite
The New York Times (12/08/09) P. D4; Markoff, John
An optimistic outlook has returned to the field of artificial
intelligence (AI) 45 years after the pronouncement by computer
scientist John McCarthy that a thinking machine could be created
within a decade. Fueling the renewed optimism is rapid progress in AI
technologies. More than 200 of the Stanford Artificial Intelligence
Laboratory's (SAIL's) original scientists recently convened for a
reunion, where the optimism was palpable. On hand were such luminaries
as Don Knuth, who wrote the definitive texts on computer programming,
and spell-checker designer Les Earnest. Other SAIL alumni included Raj
Reddy and Hans Moravec, who made important foundational contributions
to speech recognition and robotics at Carnegie Mellon University. The
development of the graphical user interface was based on the
philosophy of simplicity defined by SAIL veteran Larry Tesler, while
McCarthy, who was SAIL's director, developed the LISP programming
language and the time-sharing approach to computers prior to joining
the laboratory. The strides that AI has made in recent years is
especially apparent at Stanford, where a team of researchers developed
an autonomous vehicle that successfully traversed 131 miles of
mountain roads to win the 2005 Grand Challenge held by the U.S.
Defense Advanced Research Projects Agency. "We are a first-class
citizen right now with some of the strongest recent advances in the
field," says current SAIL director and Stanford roboticist Sebastian
Thrun.
Read:
http://www.nytimes.com/2009/12/08/science/08sail.html?_r=1