What if
next-generation ICT systems could be based on the brain's structure and its
cognitive and adaptive processes? A groundbreaking paradigm of brain-inspired
intelligent ICT architectures is being born.
With the advent of Big
Data and the resulting need to increase computing and networking power to
manage the vast amount of information available, a new generation of ICT
systems inspired by the operating principles of the brain has emerged. Novel
solutions toward improved information processing in computer networks/hardware
are being addressed from a multidisciplinary approach, using knowledge from
neuroscience and applying it to computer and network architecture. Stemming
from the premise that the brain is an ideal model for information processing,
in recent years we have witnessed multiple examples of bio-inspired systems,
which have eased progress in different ICT areas. Some examples are neuronal
networks for learning systems or ant algorithms used to trace optimal paths in
communication networks.
Neuroscientists are making
game-changing discoveries in their understanding of the full-scale functional
models of the brain, yet nobody has a complete picture of how the brain works,
even less at the level of higher cognition -- how we perceive, how we remember,
how we act . Recent advances in data acquisition techniques about the brain's
anatomic-functional organization and cognitive processes (for both humans and
animals) have allowed the scientific community to start analyzing and
understanding the brain's structure and its cognitive and transmission
processes. This offers a unique opportunity for the design of novel ICT systems
inspired by the brain's structure, as well as by its cognitive and adaptive
processes. Recently, some of the main companies in the ICT sector such as IBM,
Qualcomm or Intel have launched pioneering projects for the design of
brain-inspired ICT systems, which indicates the importance of this research
line for the ICT sector.
In this context, IMDEA
Networks launches a pioneering research project on BRAin inspired Data
Engineering (BRADE-CM). The Madrid research institute is part on an
interdisciplinary team with a multi-tiered research approach spanning
neuroscience, the development of imaging instrumentation, the modeling of
complex systems and networks, and the design of information processing ICT
systems. BRADE has the ambitious goal of contributing to a new generation of
computation and information processing systems for large-scale datasets
inspired by how the brain processes information, learns, makes decisions and
copes with large amounts of data.
The research groups that
are working on this project are the BDA group from IMDEA Networks Institute ,
the NETCOM Group from University Carlos III of Madrid, the NEUROCOM group from
the Complutense University of Madrid and the BiiG group from the Foundation for
Biomedical Research of the Gregorio Marañón Hospital (Fundación para la
investigación Biomédica del Hospital Gregorio Marañón). BRADE also counts
with the support and collaboration of well known national and international
companies as well as universities within the ICT sector: Alcatel Lucent Bell Labs,
IBN, ZED Worldwide, Medianet, Telefonica R&D, Orange Labs, the Computer Lab
at the University of Cambridge and 4DNature.
BRADE is funded by the Department of Education, Youth and Sports of the
Regional Government of Madrid, through the 2013 R&D technology program for
research groups, co-financed by Structural Funds of the European Union. It
commenced last October 2014 and will conclude in September 2018.
Source : http://www.sciencedaily.com/releases/2014/11/141127112753.htm