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 Deep Learning Methods Revised Deep Learning Methods 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, ISBN 3319-591703 Publisher: Springer 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, ISBN 978-1-5386-1042-8 Publisher: IEEE 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, ISBN 9781-450356176 Publisher: ACM Press 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, ISBN 978-3-319-69190-9 Publisher: Springer International Publishing 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, ISBN 978-1-5386-6780-4 Publisher: IEEE 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, ISBN 9781-450357616 Publisher: ACM Press 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 Publisher: BTH 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 Publisher: ArXiv 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 Publisher: Proceedings of 27th International Conference on Artificial Neural Networks 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 Publisher: Seventh International Conference on Learning Representations (2019) 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 Publisher: ArXiv 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 Publisher: ArXiv 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, ISBN 9781-450364485 Publisher: ACM Press 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 Publisher: Workshop on Decentralized IoT Systems and Security (DISS) 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, ISBN 978-1-7281-5165-6 Publisher: IEEE 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 Publisher: ArXiv 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, ISBN 978-1-7281-3366-9 Publisher: IEEE DOI: 10.1109/arith.2019.00018 Performance-Oriented Neural Architecture Search Author(s): Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg Published in: 2020 Publisher: ArXiv 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 Publisher: ArXiv 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 Publisher: ArXiv 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, ISBN 978-1-7281-1025-7 Publisher: Piscataway, New Jersey, USA 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 Publisher: ICLR 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, ISBN 9781-450344876 Publisher: ACM Press 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, ISBN 978-1-5090-4825-0 Publisher: IEEE 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 Publisher: Halmstad university 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 Publisher: ArXiv Moonshine: Distilling with Cheap Convolutions Author(s): Crowley, Elliot J.; Gray, Gavin; Storkey, Amos Published in: Issue 1, 2017 Publisher: arXiv 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 Publisher: - Separable Layers Enable Structured Efficient Linear Substitutions Author(s): Gray, Gavin; Crowley, Elliot J.; Storkey, Amos Published in: Issue 1, 2019 Publisher: ArXiv 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 Publisher: ArXiv 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 Publisher: ArXiv 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 Publisher: ArXiv RecNets: Channel-wise Recurrent Convolutional Neural Networks Author(s): Retsinas, G., Elafrou, A., Goumas, G. & Maragos, P. Published in: 2020 Publisher: arXiv.org 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, ISBN 978-3-030-04839-6 Publisher: Springer International Publishing 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, ISBN 978-3-030-01423-0 Publisher: Springer International Publishing 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, ISBN 978-3-030-01423-0 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-01424-7_58 Thesis and dissertations (1) Towards Secure Collaborative AI Service Chains Author(s): Vida Ahmadi Mehri Published in: 2019 Publisher: Blekinge Institute of Technology 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 Publisher: Springer Science + Business Media DOI: 10.1007/s13042-020-01097-4 Searching for OpenAIRE data... 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