TAO is the mixed INRIA Saclay — CNRS — LRI, Université Paris-Sud research group interested in the interplay of Machine Learning (A for Apprentissage) and Optimization (O). The two pilars of TAO's research are:
Position:
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Research
The main on-going research directions/projects are:
- Autonomic Computing - how to make a gigantic distributed computing system self-aware, self-healing, self-optimizing, self-?... (more...)
- Project: Grid Observatory, Work Package in EGEE-III.
- Crossing the Chasm. Why so many good algorithms don't make it outside of the research labs ? How to tune them is part of the answer... (more...)
- Developmental Design, Swarm Robotics and other Complex Systems. When what you optimize is the process leading to the result (this is ''embryogenesis'). more...
- Project: SYMBRION Integrated Project, FP7.
- Multi-Disciplinary and Continuous Optimization; dealing with computationally expensive, noisy, mixed, structured, objective functions. (more ...)
- Projects OMD and OMD2
- Optimal decision making under uncertainty - best illustrated by the computer-Go program MoGo? - first program to ever win over a professional Go player. (more...)
- Reservoir Computing. How can large random structures be more efficient than carefully crafted ones (e.g. in Neural Networks) ? (more...)
Contributors to this page: brockho
,
buondia
,
alvaro.fialho
,
jm
,
auger
,
hpaugam
,
rros
,
monteiro
,
Olivier
,
cedric
,
chardon
,
devert
,
sebag
,
lopes
and
evomarc
.
Page last modified on Monday 08 of February, 2010 07:44:29 CET by brockho.
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