Call 2018 EoI

10-11-2018

Research areas
Object recognition
Keywords
Analogue Chip Design, Optics
Partners already involved
ZHAW - Switzerland TCD - Ireland
Expertise needed / Role in project
We are looking for a research institute *not* in IRL/CH that can offer camera/analogue chip design
Preferred countries
Different from those already involved
Contact
Hans Dermot Doran
Coordinator
ZHAW / InES
Switzerland
Project looking for partner(s)
Analog Computing for Artificial Intelligence (ACAI)

10-11-2018

Research areas
Machine learning in Geoinformation, Remote sensing, big data, coastal surveying
Abstract
We are actively interested in participating in projects involving any innovative new techniques for - cloud computing in big geodata applications - optimisation models - implementation in sensors network - image and video analysis preferably at coastline sites
Preferred countries
Any
Contact
Emmanouil Oikonomou
Senior Lecturer
Department of Surveying Engineering and Geoinformatics University of West Attica
Greece
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

31-10-2018

Research areas
http://gtec.des.udc.es/web/ * Design of analog joint source-channel coding techniques based on continuous non-linear curves for the transmission of analog source information. * Iterative and adaptive signal processing techniques for estimation, equalization, synchronization and interference cancellation in wireless communications. * High security and energy efficiency for IoT systems.
Keywords
low-power ICT, analog encoding, analog transmission
Abstract
In the last years, different transmission schemes have been investigated to allow an analog transmission of continuous-amplitude information, avoiding analog to digital conversion (and the inverse operation). These schemes are based on mapping the source information directly by using non-linear parametric functions which transform the real-valued input symbols into real-valued output symbols which can be transmitted then to the destination point. These functions can be adapted easily to the different medium conditions and the resulting encoding/mapping schemes present some additional advantages with respect to traditional digital schemes: high transmission rate, zero-delay, low complexity and power consumption, graceful degradation, ... The features of this novel encoding techniques make them very suitable in the context of purely-analog computing since they can be employed to encode and transmit the real-valued data obtained as results from some analog processing of the information. Some interest fields of application could be sensor networks, IoT, images or video processing, ...
Expertise needed / Role in project
Our research group has a large experience in the design of analog encoding schemes since we have been investigating this topic for more than eight years. Hence, we could collaborate actively in the integration of these schemes into the context of analog computing.
Preferred countries
Any
Contact
Luis Castedo Ribas
Full Professor
University of A Coruña
Spain
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

30-10-2018

Research areas
Smart Sensors Low power embedded systems energy efficient communication energy harvesting for low power systems Near sensors processing Edge Computing Machine learning on microcontrollers Wake up radios Sensors systems and application
Contact
Michele Magno
Senior Researcher
ETH Zurich
Switzerland
Partner looking for project
Smart Distribution of Computing in Dynamic Networks (SDCDN)

19-10-2018

Research areas
Natural language understanding Machine learning Continuous representations of content
Abstract
The LIIR research team would like to participate in an ACAI project that entails natural language understanding without financial support. Expertise see: https://liir.cs.kuleuven.be
Contact
Marie-Francine Moens
KU Leuven
Belgium
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

19-10-2018

Research areas
Quantum computation, Ising machines and their applications for AI
Keywords
quantum computation
Abstract
In recent years a new paradigm of computation based on minimisation of Ising Hamiltonians have become more relevant. This kind of minimisation problems can be (approximately) solved using Quantum Annealing techniques, coherent optical Ising machines, CMOS annealing machines (such as build by Hitachi) or Digital Annealer (Fujitsu). We would like to study Markov Random Fields based inference using aforementioned devices. There exists a major problem of mapping of MRF models onto binary Ising machines. And it is not yet known what is efficiency of the mentioned techniques for various classes of models and applications.
Expertise needed / Role in project
We offer expertise in quantum annealing, gate based quantum algorithms and skills in mapping of multi-class classification problems onto Ising models in context of image processing.
Preferred countries
Different from those already involved
Contact
Piotr Gawron
professor
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Poland
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

16-10-2018

Research areas
Knowledge representation, logics, agents, natural language processing. http://cs-gw.utcluj.ro/~adrian Adrian.Groza@cs.utcluj.ro
Keywords
Knowledge representation, logics, agents, natural language processing.
Contact
Adrian Groza
Associate Professor
Technical Unviersity of Cluj-Napoca
Romania
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

12-10-2018

Research areas
I am currently part of a group called DEMO (as a doctoral researcher) in the University of Jyvaskyla focusing on multiobjective optimization and interactive methods. Also, we work on multi-agent systems to develop more efficient evolutionary algorithms. Here is the group's website to become more familiar with our work: http://www.mit.jyu.fi/optgroup/index.html
Keywords
multiobjective optimization, Interactive methods, Smart Decision making
Contact
Pouya Aghaei Pour
Doctoral researcher
It faculty in the University of Jyvaskyla
Finland
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

12-10-2018

Research areas
The research interests of our group are: neural networks, deep learning, machine learning, cognitive computing, parallel/distributed computing, data science, data analysis, IoT analytics. Our group members are especially interested in implementing computational intelligence applications on high-performance architectures. We are experienced in the implementation of various solutions based on machine learning, big data, cloud computing for industrial applications.
Contact
Angel Cataron
Transilvania University of Brasov, Dept. of Electronics and Computers
Romania
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

10-10-2018

Research areas
Speech and Dialogue research laboratory (SpeeD - http://speed.pub.ro) in University Politehnica of Bucharest has a long background in applying artificial intelligence in spoken language technology (especially in speech recognition, speaker recognition, keyword spotting), natural language processing and digital signal processing.
Keywords
spoken language technology, natural language processing, digital signal processing
Partners already involved
We are looking for an interesting project to join and do not currently have any partners.
Preferred countries
Any
Comment

*

Contact
Horia Cucu
University Politehnica of Bucharest, Speech and Dialogue Research Laboratory
Romania
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

09-10-2018

Research areas
CMLabs' primary product is Psyclone, a distributed platform for intelligent interactive systems. It is capable of dynamically move processing around a distributed processing system and naturally integrates support for General Artificial Intelligence applications. Please see our website for more information: https://cmlabs.com
Abstract
We believe that the Psyclone platform would be perfectly suited for the bold Smart Distribution of Computing in Dynamic Networks (SDCDN) project proposal and execution. It is a mature and commercially tested system with near-realtime data processing support across a number of heterogeneous platforms (Windows, UNIX) able to integrate high-performance C++, Python 2&3 and Java modules in a single distributed system.
Partners already involved
We are looking for an interesting project to join and do not currently have any partners.
Expertise needed / Role in project
Our role would be the ISV, i.e. the integrator of the hardware and software written in the system.
Preferred countries
Any
Contact
Thor List
Managing Director
Communicative Machines
United Kingdom
Partner looking for project
Smart Distribution of Computing in Dynamic Networks (SDCDN)

09-10-2018

Research areas
distributed systems, high performance computing, IoT, optimization (performance, energy consumption), management of computations grid, cloud computing
Keywords
distributed systems, high performance computing, IoT, optimization, grid, cloud computing
Abstract
see more regarding our research activities at: https://eti.pg.edu.pl/katedra-architektury-systemow-komputerowych/research-area https://eti.pg.edu.pl/katedra-architektury-systemow-komputerowych/projects https://eti.pg.edu.pl/katedra-architektury-systemow-komputerowych/publications
Contact
Paweł Czarnul
Head of Dept., Vice Dean for Cooperation and Promotion
Dept. of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology
Poland
Partner looking for project
Smart Distribution of Computing in Dynamic Networks (SDCDN)