Call 2018 EoI

02-01-2019

Research areas
Electroabsorption modulators, optoelectronics.
Abstract
I want to develop an optical system whereby we will be able to multiply matrices. We will have an array of electroabsorption modulators and lenses to multiply and add, respectively. For the theoretical framework, please see, Joseph Goodman's Fourier Optics book. We will demonstrate this in the blue range using MBE grown InGaN/GaN quantum electroabsorption modulator arrays.
Contact
Emre SARI
Assistant Professor
Izmir Institute of Technology
Turkey
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

30-12-2018

Research areas
AR/AI/IoT
Keywords
AR/AI/IoT
Preferred countries
Any
Contact
DANIEL CHIRTES
Key Account Manager
Management
Romania
Partner looking for project
Smart Distribution of Computing in Dynamic Networks (SDCDN)

22-12-2018

Research areas
BEIA Consult International, SIEMENS partner, is a R&D performing SME, founded in 1991, and one of the leading providers of ICT solutions and services in Romania for cloud communications and IoT telemetry. BEIA is ISO certified and has experience in coordinating and participating in more than 40 R&D and Innovation projects (FP6, FP7, H2020, Eureka, ERA-Net, etc.): http://www.beiaro.eu
Keywords
IoT, analog signals, sensors, image, sound, speech, video
Abstract
BEIA has implemented and integrated IoT telemetry applications in the field of smart buildings (monitoring HVAC, light, smart power plugs), industry (automotive, logistics, manufacturing), smart city (noise, air quality, mobility), e-health (tele-diagnosis of diabetes, emergency communication systems for patients, nurses and doctors), environment (monitoring of water, soil and air quality), hydro energy (tele-monitoring of level and flow), solar energy (measurement of solar radiation in photo-voltaic parks, forecasting of energy production according to meteorology sensors, monitoring inverters), agriculture (frost warnings, disease alert for plants, evapo-transpiration calculations, measurement of cumulated degree days), accurate water data (water sensors for hydrographical purposes, from precipitation to water level monitoring of lakes, rivers, wells), efficient water management (leak and burst detection, pressure, flow, level and well monitoring), irrigation management (including sensors for measuring soil moisture, monitor water uptake), heliports (measurement of meteorological parameters), underground (monitoring oil/gas exploration sites, mining tunnels). Some other IoT/Telemetry use cases we are implementing are presented here: http://www.beia-telemetrie.ro
Partners already involved
BEIA has many partnerships in Romania and can provide a full sub-consortium, including NGO, government, industry, academia, large enterprises and SMEs, for example University “Politehnica” of Bucharest (UPB), Research Institute for Artificial Intelligence / Romanian Academy (RACAI), Romanian Space Agency (ROSA), National Institute for Research and Development in Electrical Engineering (ICPE-CA), National Institute of Aerospace Research “ELIE CARAFOLI” (INCAS), National Institute for Research and Development in Informatics (ICI), Institute for Research and Development in Automation (IPA).
Expertise needed / Role in project
AI Applications across a Distributed Cloud Platform
Preferred countries
Any
Contact
George Suciu
R&D and Innovation Manager
BEIA Consult International
Romania
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

21-12-2018

Research areas
Data mining, IoT, collaborative networks
Expertise needed / Role in project
• MODSOIL – The development of an expert system for prediction of the soil moisture in agriculture (UEFISCDI, 2014-2017) . The project aims at developing an expert system that collects data from local weather stations, merges it with public weather forecasts and predicts various soil parameters for the next day. The main parameter is soil moisture, which, if out of a certain range, alerts the farmer, who can optimize the watering of the crops. • ProSEco – Collaborative Environment for Eco-Design of Product- Services and Production Processes Integrating Highly Personalised Innovative Functions, 2013-2017 . The prject aims at analyzing data collecting from products in Internet of Things, determining usage patterns and creating post-sales services. • SDK4ED – Software Development toolKit for Energy optimization and technical Debt elimination (Horizon 2020, 2018 - 2020) . The project aims at optimizing the energy consumption on embedded systems, such as wearables: smart glasses and smart watches.
Preferred countries
Any
Contact
Oliviu Matei
HOLISUN
Romania
Partner looking for project
Smart Distribution of Computing in Dynamic Networks (SDCDN)

10-12-2018

Research areas
Simulating process of symbolizing (symbol and metaphor, natural languages) in Artificial Neural Networks. Set up of the project: defining the symbol in AI zone, defining network topology, defining framework. Stages: proof of concept (symbol defined, topology chosen, framework chosen, network built and learnt), main tests on many ANNs, research results and publications.
Keywords
ann, artificial neural network, symbol, metaphor
Abstract
Symbol is the container for the meaning, crucial for human beings to categorize and communicate. When considering a symbol, the following issues are raised. What the structure of a symbol is (e.g. a trichotomic structure by Aristotle, a semantic and non-semantic element by Ricoeur), what the possible carriers of meanings are and what the essence of a symbol is in this context - if anything distinguishes it from other significant objects (a sign, an allegory, a symbol by Jung), what the functions of a symbol are, what the relationship between the meaning one and the marked one is, how the recognition of the meaning of a symbol is done by a human being, what the mechanisms that generate the symbol are, where the symbol may arise: at the level of a human, or at the level of culture, what the process of symbol distribution is: how the symbol is created, how it penetrates the community, how an intergenerational transmission takes place, how the symbol update process is conducted, and what a symbol's lifespan is. On the other hand artificial intelligence and neural networks are used in many fields of human experience. Robotics, pattern and faces recognition systems, medical diagnosis to mention only few. When patterns are recognized, categories and abstract representations have to be identified within the network. I would like to compare it with the mentioned ideas of symbol. This project connects different branches of science and each of them might benefit by the new approach. I believe that using artificial intelligence and artificial neural networks at humanities might put additional light to what symbol is. What is more we might build new tools and methods that would be useful for cognitive sciences. On the other hand using the symbol derived from humanities might be useful in designing neural networks.
Partners already involved
AGH, Krakow, Poland
Expertise needed / Role in project
Computer Science, AI, ANN, Philosophy, Cognitive Science
Preferred countries
Different from those already involved
Contact
Jakub Szczesniak
AGH University of Science and Technology, Faculty of Humanities
Poland
Project looking for partner(s)
Analog Computing for Artificial Intelligence (ACAI)

10-12-2018

Research areas
Thomas Johann Seebeck department of electronics of Tallinn University of Technology has a long track in R&D of the AC instrumentation, incl "lock-in" impedance (incl eddy current) measurement sensorics for wide range of bio-medical and industrial applications (cardio-respiratory monitoring, identification&measurement of metal) structures etc.
Keywords
analog signal processing, impedance spectroscopy, smart sampling
Abstract
The power-, cost- and high-performance solutions can be done by combining smart sampling, analog & mixed processing and conversion of the sensor signals; also smartly sampled signals is possible to transmit by simple&precise analog time/frequency/phase RF or optical modulation. The plan of the project could be demonstrating of such high-performance power- and cost-efficient technologies, by combining the best of analog and digital approaches, in the innovative ways.
Partners already involved
None yet
Expertise needed / Role in project
Complementary expertise acknowledged,eg in RF part, also next application areas, also implementation of micro-miniaturized electronics.
Preferred countries
Any
Comment

We have well equipped labs and experts in signal processing, practical electronics, techncial writers and inventors and co-operations with various institutions.

 

Contact
Olev Martens
prof
Tallinn University of Technology: Thomas Johann Seebeck departent of electronics
Estonia
Project looking for partner(s)
Analog Computing for Artificial Intelligence (ACAI)

05-12-2018

Research areas
We are an interdisciplinary national consortium located in Lille, France, interested in Spiking Neural Networks, neuromorphic computing, and computer vision. Our expertise on this topic mainly includes a simulator, called N2S3, for pre-evaluating the learning capabilities and the energy consumption of such nano spiking neural networks hardware.
Keywords
sensors, analog computing, neuromorphic hardware, artificial intelligence
Abstract
The scope of the project is to develop new methods for bio-inspired processing of natural signals such as video and sound. Standing out from the mainstream deep learning, it considers the use of Spiking Neural Networks, by exploiting its neuro-inspired properties. This type of network brings the double benefit of (1) performing a learning that is mainly unsupervised (thanks to bio-inspired learning rules like Spike-Timing Dependent Plasticity) - which avoids to resort to manually annotated data, and (2) allows hardware implementations that are both extremely energy efficient and computationally efficient. Circumventing the two main pitfalls of data processing is a considerable challenge.
Partners already involved
CRIStAL, University of Lille / CNRS (FR) and Instituto de Microelectrónica de Sevilla (ES)
Expertise needed / Role in project
The intended consortium could include typically 4-6 partners from France, Switzerland, Spain, or other countries with expertise in sensors, analog computing, neuromorphic hardware, artificial intelligence, and other project target domains.
Preferred countries
Different from those already involved
Comment

Here are our last papers on the subject:

  • Mastering the Output Frequency in Spiking Neural Networks, Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet. International Joint Conference on Neural Networks (IJCNN), Jul 2018, Rio de Janeiro, Brazil. https://hal.archives-ouvertes.fr/hal-01741500
  • Flexible Simulation for Neuromorphic Circuit Design: Motion Detection Case Study, Pierre Falez, Philippe Devienne, Pierre Tirilly, Marius Bilasco, Christophe Loyez, Ilias Sourikopoulos, Pierre Boulet, COMPAS 2017 : https://hal.archives-ouvertes.fr/hal-01538449v1
  • Bio-inspired event-based motion analysis with spiking neural networks, Veïs Oudjail, Jean Martinet. Accepted to the International Conference on Computer Vision Theory and Applications (VISAPP'19), Feb 25-27 2019,  Prague, Czech Republic : https://hal.archives-ouvertes.fr/hal-01940917v1


Contact
Jean Martinet
Associate Professor
CRIStAL - University of Lille and CNRS
France
Project looking for partner(s)
Analog Computing for Artificial Intelligence (ACAI)

21-11-2018

Research areas
- Internet of Things - Big Data architectures - Cloud and edge computing - Data analysis, machine learning, and deep learning algorithms - Networking: SDN, NFV and 5G - Video stream distribution
Keywords
IoT, Cloud, Edge Computing, SDN, NFV, 5G, ML, DL, Big Data
Abstract
5G networking is expected to enable the next generation of connected applications and services via reduced latency, higher bandwidth, improved mobility tolerance, support for a higher number of simultaneous connected devices and the ability to create specific network slices with dedicated resources on demand to increase flexibility and scalability. In a connected vehicle context, this type of network will pave the way for improved safety and infotainment services. However, efficient content distribution in a mobility context will need more than network support in order to deliver the expected results. Custom content should be created, adapted and sent to users from a service that is near their destination to maximize efficiency. Due to the high degree of mobility in this context, this will imply distributing and moving content and computing tasks between different infrastructure elements as the vehicles advance in their route, but also carefully planning resources so that different jobs do not interfere with each other. The objective of this project will be to demonstrate the technologies needed to support a content processing and distribution infrastructure that can cover the needs of a high-speed vehicular mobility scenario for infotainment.
Expertise needed / Role in project
- End user (automotive) - End user (content provider) - Network provider - Infrastructure provider
Contact
Ruth Muleiro Alonso
European Project Assistant
Gradiant (RTO) / European Projects Office
Spain
Partner looking for project
Smart Distribution of Computing in Dynamic Networks (SDCDN)

21-11-2018

Research areas
Artificial Intelligence, Machine Learning, Distributed Social Networks , Internet of Things, Cloud Computing, Networking
Abstract
We are looking for potential partners for the development of a novel type of Social Network. Aim is not only a research project but eventually also the establishment of a StartUp.
Preferred countries
Any
Contact
Radu A. Badea
Dr. Ing.
Politehnica University of Bucharest
Romania
Project looking for partner(s)
Smart Distribution of Computing in Dynamic Networks (SDCDN)

19-11-2018

Research areas
Computational Intelligence, Granular Computing, Fuzzy logic, Face recognition, Data mining, Decision-making theory, Information aggregation, Pattern recognition, Big Data
Abstract
We are the group of researchers from Lublin University of Technology having an experience in both scientific work and cooperation with industry. We are looking to join the project proposal.
Preferred countries
Any
Contact
Paweł Karczmarek
Faculty
Lublin University of Technology, Institute of Computer Science
Poland
Partner looking for project
Analog Computing for Artificial Intelligence (ACAI)

10-11-2018

Research areas
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Keywords
Analogue Chip Design, Optics
Abstract
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Partners already involved
Amoxil Pediatrique Siemens Levitra 20mg <a href=http://cialicheap.com>buy cialis</a> Viagra Bluthochdruck Tomar Propecia Informacion Ciprofloxacin 500 Mg Buy Propecia Espana Finasteride 1mg <a href=http://tadalafonline.com>cialis no prescription</a> What Is Metformin Order Propecia Online Australia What Is Keflex Prescibed To Treat
Expertise needed / Role in project
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Preferred countries
Different from those already involved
Comment

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Contact
KelTaLm
Cialis Generico Spedizione Veloce KelTaLm
ZHAW / InES
Portugal
Project looking for partner(s)
Smart Distribution of Computing in Dynamic Networks (SDCDN)

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)

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