Platform for Open Development of Systems of Artificial Intelligence

Deliverables

Websites, patent fillings, videos etc. (3)

Bonseyes flyer

Conceived as a dissemination tool to interest stakeholders and the public in the project. Project partners will distribute it at various events.

Bonseyes video

Conceived as a dissemination tool to interest researchers, stakeholders and the public in the project, also addressing an audience which can not easily be reached via other means. The video will be made available on the Bonseyes website and channels such as youtube.

Website

Public project website serving as a dissemination gateway.

Documents, reports (4)

Revised AI Marketplace

Revised Marketplace development based on the results from Open Developer Community Validation.

Validation Report

Documentation of the Bonseyes use case validation results and of the open developer community validation results.

Data Marketplace Report

Documentation of the data marketplace design and implementation.

Demonstrator Proof of Concepts

Report detailing demonstrator achievements.

Other (4)

Initial Platform Deployment Methods and Tools

Initial Platform Deployment Methods and Tools

Initial Deep Learning Methods

Initial Deep Learning Methods

Revised Deep Learning Methods

Revised Deep Learning Methods

Revised Platform Deployment Methods and Tools

Revised Platform Deployment Methods and Tools

Publications

Conference proceedings (25)

Privacy and Trust in Cloud-Based Marketplaces for AI and Data Resources

Author(s): Ahmadi , Vida; Tutschku , Kurt
Published in: IFIP Advances in Information and Communication Technology, Issue 5, 2017, Page(s) 223-225

Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Modern Multi- and Many-Core Processors

Author(s): Athena Elafrou, Georgios Goumas, Nectarios Koziris
Published in: 2017 46th International Conference on Parallel Processing (ICPP), 2017, Page(s) 292-301
DOI: 10.1109/ICPP.2017.38

Optimal DNN primitive selection with partitioned boolean quadratic programming

Author(s): Andrew Anderson, David Gregg
Published in: Proceedings of the 2018 International Symposium on Code Generation and Optimization - CGO 2018, 2018, Page(s) 340-351
DOI: 10.1145/3179541.3168805

Pricing of Data Products in Data Marketplaces

Author(s): Samuel A. Fricker, Yuliyan V. Maksimov
Published in: Lecture Notes in Business Information Processing (LNBIP), Issue 304, 2017, Page(s) 49-66
DOI: 10.1007/978-3-319-69191-6_4

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Author(s): Jack Turner, Jose Cano, Valentin Radu, Elliot J. Crowley, Michael O'Boyle, Amos Storkey
Published in: 2018 IEEE International Symposium on Workload Characterization (IISWC), 2018, Page(s) 101-110
DOI: 10.1109/IISWC.2018.8573503

QUENN - QUantization engine for low-power neural networks

Author(s): Miguel de Prado, Maurizio Denna, Luca Benini, Nuria Pazos
Published in: Proceedings of the 15th ACM International Conference on Computing Frontiers - CF '18, 2018, Page(s) 36-44
DOI: 10.1145/3203217.3203282

Towards Privacy Requirements for Collaborative Development of AI Applications

Author(s): Ahmadi Mehri, Vida; Ilie, Dragos; Tutschku, Kurt
Published in: Issue 1, 2018

Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems

Author(s): de Prado, Miguel; Pazos, Nuria; Benini, Luca
Published in: Issue 1, 2018

Distilling with Performance Enhanced Students

Author(s): Turner, Jack; Crowley, Elliot J.; Radu, Valentin; Cano, José; Storkey, Amos; O'Boyle, Michael
Published in: Issue 1, 2018

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

Author(s): Jastrzębski, Stanislaw; Kenton, Zachary; Ballas, Nicolas; Fischer, Asja; Bengio, Yoshua; Storkey, Amos
Published in: Jastrzębski , S , Kenton , Z , Ballas , N , Fischer , A , Bengio , Y & Storkey , A 2019 , ' On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length ' , Paper presented at Seventh International Conference on Learning Representations , New Orleans , United States , 6/05/19 - 9/05/19 ., Issue 1, 2018

DNN's Sharpest Directions Along the SGD Trajectory

Author(s): Stanisław Jastrzębski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos Storkey
Published in: 2018

Three Factors Influencing Minima in SGD

Author(s): Stanisław Jastrzębski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos Storkey
Published in: 2018

Privacy and DRM Requirements for Collaborative Development of AI Applications

Author(s): Vida Ahmadi Mehri, Dragos Ilie, Kurt Tutschku
Published in: Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES 2018, 2018, Page(s) 1-8
DOI: 10.1145/3230833.3233268

Designing a Secure IoT System Architecture from a Virtual Premise for a Collaborative AI Lab

Author(s): Mehri, V. A., Ilie, D. & Tutschku, K.
Published in: 2019

Framework for Analysis of Multi-party Collaboration

Author(s): Yuliyan V. Maksimov, Samuel A. Fricker
Published in: 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW), 2019, Page(s) 44-53
DOI: 10.1109/rew.2019.00013

Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets

Author(s): Philipp Lüthi, Thibault Gagnaux, Marcel Gygli
Published in: 2019

Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks

Author(s): Andrew Anderson, Michael Doyle, David Gregg
Published in: 2019 IEEE 26th Symposium on Computer Arithmetic (ARITH), 2019, Page(s) 61-68
DOI: 10.1109/arith.2019.00018

Performance-Oriented Neural Architecture Search

Author(s): Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
Published in: 2020

BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget

Author(s): Jack Turner, Elliot J. Crowley, Michael O'Boyle, Amos Storkey, Gavin Gray
Published in: 2020

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

Author(s): Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, Jose Cano, Elliot J. Crowley, Bjorn Franke, Amos Storkey, Michael O'Boyle
Published in: 2019

IoT meets distributed AI - Deployment scenarios of Bonseyes AI applications on FIWARE

Author(s): Lucien Moor, Lukas Bitter, Miguel De Prado, Nuria Pazos, Nabil Ouerhani
Published in: 2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC), 2019, Page(s) 1-2
DOI: 10.1109/ipccc47392.2019.8958742

How to train your MAML

Author(s): Antoniou, Antreas; Edwards, Harrison; Storkey, Amos
Published in: Seventh International Conference on Learning Representations, 2019

BONSEYES - Platform for Open Development of Systems of Artificial Intelligence: Invited paper

Author(s): Tim Llewellynn, Sebastian Koller, Georgios Goumas, Peter Leitner, Ganesh Dasika, Lei Wang, Kurt Tutschku, M. Milagro Fern?ndez-Carrobles, Oscar Deniz, Samuel Fricker, Amos Storkey, Nuria Pazos, Gordana Velikic, Kirsten Leufgen, Rozenn Dahyot
Published in: Proceedings of the Computing Frontiers Conference on ZZZ - CF'17, 2017, Page(s) 299-304
DOI: 10.1145/3075564.3076259

Parallel Multi Channel convolution using General Matrix Multiplication

Author(s): Aravind Vasudevan, Andrew Anderson, David Gregg
Published in: 2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2017, Page(s) 19-24
DOI: 10.1109/ASAP.2017.7995254

Flexible Privacy and High Trust in the Next Generation Internet - The Use Case of a Cloud-based Marketplace for AI

Author(s): Mehri, Vida. A., Tutschku, Kurt
Published in: SNCNW - Swedish National Computer Networking Workshop, Halmstad, 2017

Other (8)

Low-memory GEMM-based convolution algorithms for deep neural networks

Author(s): Anderson, Andrew; Vasudevan, Aravind; Keane, Cormac; Gregg, David
Published in: Issue 2, 2017

Moonshine: Distilling with Cheap Convolutions

Author(s): Crowley, Elliot J.; Gray, Gavin; Storkey, Amos
Published in: Issue 1, 2017

Accelerating Deep Neural Networks on Low Power Heterogeneous Architectures.

Author(s): Loukadakis, M., Cano, J. & O’Boyle, M.
Published in: 11th International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2018). 11th International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2018), Manchester, United Kingdom, 24 January, 2018

Separable Layers Enable Structured Efficient Linear Substitutions

Author(s): Gray, Gavin; Crowley, Elliot J.; Storkey, Amos
Published in: Issue 1, 2019

AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools

Author(s): de Prado, Miguel; Su, Jing; Dahyot, Rozenn; Saeed, Rabia; Keller, Lorenzo; Vallez, Noelia
Published in: Issue 1, 2019

Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation

Author(s): Antoniou, Antreas; Storkey, Amos
Published in: Issue 1, 2019

A Closer Look at Structured Pruning for Neural Network Compression

Author(s): Crowley, Elliot J.; Turner, Jack; Storkey, Amos; O'Boyle, Michael
Published in: Issue 1, 2019

RecNets: Channel-wise Recurrent Convolutional Neural Networks

Author(s): Retsinas, G., Elafrou, A., Goumas, G. & Maragos, P.
Published in: 2020

Book chapters (3)

Artifact Compatibility for Enabling Collaboration in the Artificial Intelligence Ecosystem

Author(s): Yuliyan V. Maksimov, Samuel A. Fricker, Kurt Tutschku
Published in: Software Business - 9th International Conference, ICSOB 2018, Tallinn, Estonia, June 11–12, 2018, Proceedings, Issue 336, 2018, Page(s) 56-71
DOI: 10.1007/978-3-030-04840-2_5

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio

Author(s): Stanislaw Jastrzębski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos Storkey
Published in: Artificial Neural Networks and Machine Learning – ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III, Issue 11141, 2018, Page(s) 392-402
DOI: 10.1007/978-3-030-01424-7_39

Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks

Author(s): Antreas Antoniou, Amos Storkey, Harrison Edwards
Published in: Artificial Neural Networks and Machine Learning – ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III, Issue 11141, 2018, Page(s) 594-603
DOI: 10.1007/978-3-030-01424-7_58

Thesis dissertations (1)

Towards Secure Collaborative AI Service Chains

Author(s): Vida Ahmadi Mehri
Published in: 2019

Peer reviewed articles (1)

Robustness to adversarial examples can be improved with overfitting

Author(s): Oscar Deniz, Anibal Pedraza, Noelia Vallez, Jesus Salido, Gloria Bueno
Published in: International Journal of Machine Learning and Cybernetics, Issue 11/4, 2020, Page(s) 935-944, ISSN 1868-8071
DOI: 10.1007/s13042-020-01097-4