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News > Research Highlights
Page 14 of 18
Eurecca tackles three key questions for the IT industry
Nov 01, 2011Eurecca tackles three key questions for the IT industry: Today's multicore processors are not being utilized in a sufficiently intelligent way. They get too hot and run slowly because they are used inefficiently. At the same time, transistors are becoming so small that they will ultimately become unreliable. Major European research organizations are now attempting to create a revolution in computer architecture.
EuroRec EHR Quality Seal Level 2 granted to EHR system developed by FORTH
Oct 06, 2011Nursing and Medical Applications (under the product name ICS-M), which are part of the software suite "Integrated Care Solutions" developed by the Institute of Computer Science of the Foundation for Research and Technology - Hellas (FORTH), have been certified with the Seal of Quality Electronic Health Record (EHR) Level 2 (EuroRec EHR Quality Seal Level 2) by the European Institute for Health Records EuroRec (http://www.eurorec.org/).
Achievements: Professor Spyros Pandis, Deputy Director of FORTH/ICE-HT, earns an ERC Advanced Investigator Grant for "Atmospheric Organic Particulate Matter, Air Quality and Climate Change Studies"
Dec 19, 2010Dr. Spyros Pandis, Professor of the Department of Chemical Engineering, University of Patras, and collaborating faculty member and Deputy Director of the Institute of Chemical Engineering and High Temperature Chemical Processes of the Foundation of Research and Technology-Hellas (FORTH/ICE-HT) has recently been awarded the prestigious European Research Council (ERC) Advanced Investigator Grant for his research proposal entitled "Atmospheric Organic Particulate Matter, Air Quality and Climate Change Studies (ATMOPACS)".
Contribution to understanding the mechanisms underlying memory formation and coding in the brain via the use of computational models
Dec 17, 2010Work in the Computational Biology Laboratory of IMBB-FORTH, which is headed by Dr. Panayiota Poirazi, has used computational models to show that a single neuronal cell in the brain is capable of detecting spatiotemporal differences of incoming signals and encoding them into its response pattern.