BONSEYES: Platform for Open Development of Systems of Artificial Intelligence

被引：14

作者：

Llewellynn, Tim ^{[1
]}

Milagro Fernandez-Carrobles, M. ^{[2
]}

Deniz, Oscar ^{[2
]}

Fricker, Samuel ^{[3
]}

Storkey, Amos ^{[4
]}

Pazos, Nuria ^{[5
]}

Velikic, Gordana ^{[6
]}

Leufgen, Kirsten ^{[7
]}

Dahyot, Rozenn ^{[8
]}

Koller, Sebastian ^{[9
]}

Goumas, Georgios ^{[10
]}

Leitner, Peter ^{[11
]}

Dasika, Ganesh ^{[12
]}

Wang, Lei ^{[13
]}

Tutschku, Kurt ^{[14
]}

机构：

[1] nVISO SA, Lausanne, Switzerland

[2] Univ Castilla La Mancha, Ciudad Real, Spain

[3] FHNW, I4Ds Ctr Requirements Engn, Windisch, Switzerland

[4] Univ Edinburgh, Edinburgh, Midlothian, Scotland

[5] Haute Ecole Specialisee Suisse Occidentale, Delemont, Switzerland

[6] RT RK, Novi Sad, Serbia

[7] SCIPROM SARL, St Sulpice, Switzerland

[8] Trinity Coll Dublin, Dublin, Ireland

[9] Tech Univ Munich, Munich, Germany

[10] Natl Tech Univ Athens, Inst Commun & Comp Syst, Athens, Greece

[11] SYNYO GmbH, Vienna, Austria

[12] ARM Ltd, Cambridge, England

[13] ZF Friedrichshafen AG, Friedrichshafen, Germany

[14] Blekinge Inst Technol BTH, Karlskrona, Sweden

来源：

ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2017 | 2017年

关键词：

Data marketplace; Deep Learning; Internet of things; Smart Cyber-Physical Systems;

D O I：

10.1145/3075564.3076259

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The Bonseyes EU H2020 collaborative project aims to develop a platform consisting of a Data Marketplace, a Deep Learning Toolbox, and Developer Reference Platforms for organizations wanting to adopt Artificial Intelligence. The project will be focused on using artificial intelligence in low power Internet of Things (IoT) devices ("edge computing"), embedded computing systems, and data center servers ("cloud computing"). It will bring about orders of magnitude improvements in efficiency, performance, reliability, security, and productivity in the design and programming of systems of artificial intelligence that incorporate Smart Cyber-Physical Systems (CPS). In addition, it will solve a causality problem for organizations who lack access to Data and Models. Its open software architecture will facilitate adoption of the whole concept on a wider scale. To evaluate the effectiveness, technical feasibility, and to quantify the real-world improvements in efficiency, security, performance, effort and cost of adding AI to products and services using the Bonseyes platform, four complementary demonstrators will be built. Bonseyes platform capabilities are aimed at being aligned with the European FI-PPP activities and take advantage of its flagship project FIWARE. This paper provides a description of the project motivation, goals and preliminary work.

引用

页码：299 / 304

页数：6

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