• Applied Machine Learning In Medical Imaging – Rene Donner

    Abstract: Deep learning has had a great impact on Medical Imaging. But what is Medical Imaging? What are common Computer Vision tasks in that domain? We will look at registration, semantic segmentation, retrieval and anatomical structure localization. We will not only encounter DL techniques but also see the application of Random Forests, Random Ferns and Markov Random Fields. Lastly, we will look at publicly available data sets to get you started with Medical Imaging, as well as the practical aspects of working with medical domain experts. Speaker: With a background in electrical engineering, René has worked for 8 years at the Medical University Vienna as a researcher in computer vision, focussing on anatomical structure localization and content-based image retrieval. He is now CTO at contextflow, applying deep learning to large-scale medical image data and developing smart tools to aid radiologists in their challenging tasks. Language: English Program: - Talk - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and subsequent networking. At the end of the year 2016, MLMU also spread to Brno and Bratislava. http://www.mlmu.cz/

  • Deep Learning for Object Detection in the Real World – Michelangelo Fiore

    Abstract: One of our main areas of focus in KiwiSecurity is the correct detection and tracking of people. Deep learning strategies have provided significant improvements in this area, but still have several limitations, such as their relatively slow inference times. In real world scenarios, the system needs to work reliably in very complex situations, such as crowded environments, where the objects are severely occluded. Also, in many situations, it is necessary to detect and track people simultaneously on multiple scenes, while having limited hardware. Creating a system that is accurate even in complex scenes, while still performing faster than real time and not having heavy memory requirements, is a very difficult task. In this talk, I will give an overview on the state of art of object detection, focusing on deep learning strategies, and show how KiwiSecurity is using deep learning for the task of people detection. In particular, I will focus on how the real world constraints have impacted our choice in selecting deep learning frameworks and models, and how we have used the strategy of model pruning to improve the inference time of our application. Speaker: Michelangelo Fiore is Computer Vision Developer at KiwiSecurity since June 2017. Previously did PhD studies in Human-Robot Interaction at LAAS/CNRS in Toulouse. Language: English Program: - Talk - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/

  • Roboauto – Jan Najvárek

    Impact Hub Brno

    Abstract: Self-driving cars will be our transport in the future. The question is not if, but when. Let’s see the what is the current progress of the world leaders in autonomous cars, what we do at Roboauto team here in the Czech Republic and what is our plans for the near future. We will talk about AI progress in the self-driving area, how are simulations important in the field and current hardware background of autonomous cars. Speaker: Jan Najvarek is a self-driving enthusiast, co-founder of Roboauto team/company (creator of first CZ self-driving prototype) and also a co-founder of Artin (250 sw developers). www.roboauto.cz https://www.youtube.com/channel/UC2tYS5Bz7pU4OXqVVEjbjPA Language: English Program: - Talk - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/

  • Pitfalls of ML at (not only) Kiwi.com – Roman Rožnik

    Abstract: No doubt machine learning is a hot topic in recent years, it seem's everybody can easily become a data scientist and do ML within few lines of code. Reality is much harder. Understanding the problem, preparing right training data, cleaning them, designing features, interpretability/complexity of the model, defining right metrics, looking at false positives/negatives, interpretation of ML results or AB tests - those are topics highly tied with data science that are often overlooked and underrated. I'd like to emphasize that those are very important and ML itself is just one small piece of complex data science puzzle. Bringing data science and ML approaches to the crazy company like Kiwi.com is very hard and often frustrating costs lot of blood, toil, tears and sweat and brings disillusion, sadness and lot of fails. Speaker: Roman has always been the developer most interested in math and algorithms. With a stroke of luck, he became the machine learning guy at Seznam.cz where he introduced ML to the full-text search team. After he fulfilled his mission with Seznam.cz, he decided to bring the ML and data science approach to Kiwi.com. Language: English Program: - Talk - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/

  • Deploying text RNNs in bank – Vlado Boža

    Impact Hub Brno

    Abstract: One part of the anti-money laundering process is a background check of the client to determine whether the client has been engaged in any risky or illegal activity. This was done mostly by searching manually news databases and reading returned articles. Vlado will present how Merlon Intelligence helps automate this process by implementing a solution using recurrent neural networks and also how it has coped with limited availability of training data. Speaker: Vlado Boža is a Lead ML engineer at CEAI where he focuses on hard problems requiring interesting solutions, especially in the area of NLP. He is a co-founder of Black Swan Rational, a boutique data science consultancy where he worked on projects like computer vision for detecting clouds in the sky, analysis of electrical smart-meter data or an analysis of M&A data. Vlado holds a PhD in Bioinformatics focusing on processing DNA sequencing data. He is a big fan of clever heuristics, probabilistic algorithms or any interesting efficient algorithms. Language: English Program: - Talk - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/

  • Building Safe AI – Andrew Trask

    Impact Hub Brno

    We are experimenting with a new format of moderated live streamed sessios with top experts from field, so don't hesitate and come with frineds to ImpactHUB to support us, enjoy talk and rock the afterparty! Abstract: In the first half of this talk, I’ll introduce and describe Private Deep Learning, which is an approach to training neural networks in an encrypted state such that it’s growing intelligence (and the underlying data) is protected from theft. This will include a description of Federated Learning and Multi-Party Computation. In the second half of this talk, I’ll be discussing the significant impacts this technology has when combined with the recent advancements in Blockchain and Peer-to-Peer into a new open-source platform called OpenMined. This will include a live demo showing how to train a neural network on a large, distributed, private dataset. Speaker: Andrew Trask is a PhD Student at the University of Oxford studying Deep Learning. He is also the author of Grokking Deep Learning, a Manning Publications introductory book which has sold over 6000 copies, an instructor in Udacity’s Deep Learning Nanodegree, and the author of a popular machine learning blog http://iamtrask.github.io . Previously, Andrew was a researcher and analytics product manager at Digital Reasoning where he trained the world’s largest artificial neural network with over 160 billion parameters and helped guide the analytics roadmap for the Synthesys AI platform deployed to many Enterprises such as Goldman Sachs, UBS, HCA (the largest hospital network in North America), various members of the Intelligence Community, and the US Military. Andrew lives on a boat in Oxford with his wife Amber and plays piano in his spare time Language: English Program: - Live Stream: https://www.youtube.com/watch?v=oggJP1Z6DLg - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/

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  • Why we need GANs for image manipulation – Michal Hradiš

    Abstract: Image processing certainly did not miss out on the big convolutional network revolution. Networks are at the core of state-of-the-art methods in image deblurring, superresolution, motion estimation, and even in such mundane tasks as image compression. Compared to more traditional approaches, networks can be trained for specific types of images, don’t require deep understanding of complex mathematics, and they can even hallucinate realistic image details. In this talk, I will show you how efficient image processing networks can be built and trained. I will explain why the hell do we need Generative Adversarial Networks and how they relate to human perception. The presented ideas will be demonstrated on real world image enhancement applications. You’ll get a chance to experiment with them at home using provided TensorFlow code. Language: English Program: - Talk - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/

  • Towards General AI – Tomas Mikolov

    Impact Hub Brno

    Abstract: I will present CommAI, a project aiming to build the first general AI with human-level communication skills. This includes a novel type of training setup which stresses the importance of unsupervised and incremental learning. I will describe the simplest learning problems defined in this environment, and various attempts to solve these problems using classic machine learning techniques. Speaker: Tomas Mikolov is a research scientist at Facebook AI Research since May 2014. Previously he has been the member of Google Brain team, where he developed and implemented efficient algorithms for computing distributed representations of words (word2vec project). Tomas has obtained his PhD from Brno University of Technology (Czech Republic) for his work on recurrent neural network based language models (RNNLM). His long-term research goal is to develop intelligent machines capable of learning and communication with people using natural language. https://research.fb.com/people/mikolov-tomas/ Language: English Program: - Talk - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/

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  • AI in the Office – Pavel Dvořák & Petr Mejzlík

    Impact Hub Brno

    AI in the Office – Pavel Dvořák & Petr Mejzlík Abstract: How much time do you spend searching for the information during your workday? Have you ever been searching for some document, presentation or diagram with information necessary for creating your report, writing a documentation or designing a user interface according to company’s standards? Have you always found it immediately or have you had to go through several folders to finally shout “Eureka”? Or have you even sometimes forgotten that a particular document exists and discovered it after your work was finished? Konica Minolta Laboratory Europe’s vision is to develop an operating system for the workplace of the future, called Cognitive Hub, as a nexus for users’ information flows. With Cognitive Hub we aim at changing the busy workers into effective workers by letting them focus on creative work instead of doing tedious and boring tasks such as searching for information or people with the right skill sets. In this talk, we will introduce you our overall goal and the role of Machine Learning in it, with a special focus on Computer Vision area, and present what we have already done. Speakers: Pavel Dvořák works as a Computer Vision Research Specialist for Konica Minolta Laboratory Europe. In 2015, he obtained a PhD degree in Computer Science at Brno University of Technology with a thesis focused on the application of Computer Vision in Medical Imaging. During his doctoral studies, he also worked as a researcher at the Czech Academy of Sciences and spent altogether two years as a visiting researcher at several European universities, e.g. TU Munich, Medical University of Vienna or Vienna University of Technology. Petr Mejzlík works as a Machine Learning Research Specialist for Konica Minolta Laboratory Europe. He obtained MSc. in Computer Science in 1987, and PhD (Dr.) in Molecular Biology and Genetics in 1994 from the Masaryk University in Brno. He had been teaching and doing computational chemistry/biology research at the Faculty of Informatics, Masaryk University until 2002. Since then, he participated on technology research and technical software development in Virtual Reality Simulators, ANF Data, FEI, Honeywell, and Kinalisoft. Language: English Program: - Talk - Discussion - Networking (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/

  • 0-day Malware Detection at Scale – Zdenek Letko

    Impact Hub Brno

    Abstract: In this talk, we will introduce the key aspects of the global infrastructure built by Wandera to offer organizations a global solution for Enterprise Mobile Security and Data Management. Next we discuss the exciting journey towards Machine Learning (ML) based zero day malware detection in a production environment. We will talk about the usual ML steps such as data harvesting, feature extraction, classification algorithm optimisation, model training, and evaluation. Having a functioning ML model is great but how to use it in production? The remainder of this talk is devoted to answering this question and will focus on model retraining, deployment, monitoring, and solution maintenance. And since we are not super heroes, the talk will be interlaced with lessons learnt – usually discovered the hard way. ;) Speaker: Zdenek is a software engineer and data science/machine learning enthusiast. He is currently working for Wandera, helping MI:RIAM to see, understand, and predict Internet traffic and applications behaviour. https://www.linkedin.com/in/zdenek-letko-26064848/ Language: English Program: - Talk - Discussion - Networking & Catering (ImpactHub) Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion, and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava. http://www.mlmu.cz/ (https://www.facebook.com/events/868670773307828/)

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