Pattern Analysis, Statistical Modelling and Computational Learning
PASCAL2 builds on the FP6 PASCAL Network of Excellence that has created
a distributed institute pioneering principled methods of pattern
analysis, statistical modelling, and computational learning (see http://www.pascal-network.org/).
While retaining some of the structuring elements and mechanisms (such
as the semi-annual Themes, and the Pump-Priming and Challenges
programmes) of its predecessor NoE, PASCAL2 refocuses the institute
towards the emerging challenges created by the ever expanding
applications of adaptive systems technology and their central role in
the development of artificial cognitive systems of different scales.
Learning technology is key to, for instance, making robots more
versatile, effective and autonomous, and to endowing machines with
advanced interaction capabilities.
The PASCAL2 Joint Programme of Activities (JPA) responds to these
challenges not only through the research topics it addresses but also
by engaging in technology transfer through an Industrial Club to effect
rapid deployment of the developed technologies into a wide variety of
applications. In addition, its Harvest sub-programme provides
opportunities for close collaboration between academic and industry
researchers. Other noteworthy outreach activities include curriculum
development, brokerage of expertise, public outreach, and liaison with
relevant R&D projects. Furthermore, PASCAL2 has adopted an open
membership policy allowing for active inclusion in Network activities,
of researchers working at non-beneficiary institutions.
Partners
57 institutes, 17 countries, around 120 researchers; Idiap is the Swiss Coordinator and official EC link with AMI Integrated Project.
