Program – Brno

Nadcházející meetupy

Roboauto – Jan Najvárek

  • Jazyk (language of the meetup): English
  • Datum a čas: středa 26. září 2018 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
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, Roboauto videos

Minulé meetupy

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

  • Jazyk (language of the meetup): English
  • Datum a čas: úterý 12. června 2018 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
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.

Deploying text RNNs in bank – Vlado Boža

  • Jazyk (language of the meetup): English
  • Datum a čas: čtvrtek 10. května 2018 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
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

Building Safe AI – Andrew Trask

  • Jazyk (language of the meetup): English
  • Datum a čas: úterý 10. dubna 2018 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Info:
We are experimenting with a new format of moderated live streamed sessions with top experts from the field, so don’t hesitate and come with friends to Impact Hub 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 the piano in his spare time.

Why we need GANs for image manipulation – Michal Hradiš

  • Jazyk (language of the meetup): English
  • Datum a čas: úterý 3. dubna 2018 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
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.

Towards General AI – Tomas Mikolov

  • Jazyk (language of the meetup): English
  • Datum a čas: čtvrtek 1. března 2018 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
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.

AI in the Office – Pavel Dvořák & Petr Mejzlík

  • Jazyk (language of the meetup): English
  • Datum a čas: středa 7. února 2018 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
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.

0-day Malware Detection at Scale – Zdenek Letko

  • Jazyk (language of the meetup): English
  • Datum a čas: středa 17. ledna 2018 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
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.
LinkedIn Profile

FlowerChecker: Exciting journey of one ML startup – Ondra Veselý & Jiří Řihák

  • Jazyk (language of the meetup): česky
  • Datum a čas: čtvrtek 23. listopadu 2017 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Abstract:
FlowerChecker — machine learning startup — was established three years ago by three PhD. students with one goal: plant identification.
The story-like talk shows how we use machine learning to validate the initial business idea. How we struggled trying to use existing image-recognition software and also and how and why we have collected dataset for the first commercial machine learning system with different interfaces: mobile app, facebook chatbot or twitter guerrilla marketing bot. Many colorful graphs included.
The second part of the talk goes more technical: TensorFlow, Inception v3, data preprocessing tricks, performance tuning and debugging. Basically all the struggles we needed to overcome to be able to identify 9000 different plant species.

Speakers:
Ondřej is a developer and data engineer. After a brief experience with development for Seznam.cz and AVG Technologies, he founded FlowerChecker where he plays CEO role. After stabilising the business, he joined Kiwi.com on its early startup-stage to establish analytics, research teams. Currently he builds streaming pipelines for business intelligence, leads Czechitas python courses and consults R&D projects for the European Commission.

Jirka is FlowerChecker co-founder responsible for app development and ML in plant identification. He is also finishing his PhD in Adaptive Learning group – small, but enthusiastic research lab at FI MU focused on application of ML in education.

Image Search @ Seznam.cz – Lukáš Vrábel

  • Jazyk (language of the meetup): English
  • Datum a čas: pondělí 23. října 2017 od 18:30
  • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Abstract:
Seznam.cz is, among other things, a major player on the search engine market in the Czech Republic. A few years ago, we switched our image search service from a third-party provider to our own in-house solution. It started as a simple modification of our fulltext search engine. But, over time, it has gradually developed into a standalone system.
This talk will be focused on the evolution of the search, the obstacles we faced and the solutions we implemented. We’ll briefly discuss the models, machine learning techniques and features that are used in the image search pipeline. The focus will mostly be on our investigation into deep learning in order to further improve the relevancy of the system.

Speaker:
Lukáš has industry experience with various machine learning tasks ranging from NLP through web page analysis to image recognition. Formerly a head of research department at Seznam.cz, he is currently solving the world’s largest industry problems using AI and machine learning at CEAI.

Yes, we can improve it with Evolutionary Computation! – Lukáš Sekanina

    • Jazyk (language of the meetup): English
    • Datum a čas: úterý 26. září 2017 od 18:30
    • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Abstrakt: Evolutionary computation (EC) was significantly developing in the last two decades. EC methods can now provide high quality solutions to complex multi-objective design and optimization problems in many areas of research and engineering.

In this talk, I will survey main principles and branches of EC and show typical applications of EC. In particular, EC will be presented in connection with approximate computing – a recent approach introduced for developing faster, more energy efficient, and less complex computer systems in which the correctness requirement can be relaxed to some extent.

Case studies will be focused on evolutionary approximation of digital circuits that are crucial for low power image processing, deep neural networks and other systems on a chip.

Bio: Lukáš Sekanina is currently a full professor and Head of the Department of Computers Systems at Faculty of Information Technology, Brno University of Technology, where he also received his Ing. and Ph.D. degrees. He was a visiting professor with CEI UPM Madrid (2012), Pennsylvania State University, Erie (2001) and visiting researcher with Department of Informatics, University of Oslo (2001).

Lukáš (co)authored over 150 papers mainly on genetic programming, approximate computing, applications of bio-inspired AI and digital circuit design. His research results were awarded with one Golden and two Silver medals at the Humies competition annually organized at GECCO.

Face detection and verification – Marián Beszédeš

    • Jazyk (language of the meetup): slovensky
    • Datum a čas: středa 14. června 2017 od 18:30
    • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Abstrakt: Marian will guide us through the history of face detection and recognition up to the current trends and usage of deep learning – from ADABoost to regional CNN. He will address the usage of machine learning to solve the problems including faces detection and tracking, verification, identification, age / gender estimation, and more.
Bio: Marián is image processing team leader at Innovatrics. His team is working on face detection, tracking, normalization, segmentation, grouping and recognition. He received his PhD from FEI STU Bratislava.

Time Series Predictions using Neural Networks – Rudradeb Mitra

    • Jazyk (language of the meetup): English
    • Datum a čas: středa 31. května 2017 od 18:30
    • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Abstrakt: In past 24 months, Time series database has been the fastest growing database category. This interest is because of its applications in AI, IoT and many other sectors.
One of the key application of time series data in AI is Predictive Analytics. Companies are using predictive analytics in various ways – from predicting customer buying behavior to predicting heath risk or predicting the future breakdown of trucks.
In this talk, the speaker will explain about the concepts of time series database and predictive analytics. Then he will show through examples on how NN is used to make time series predictions.
Bio: Rudradeb’s background is an AI researcher and had published 10 research papers on various AI topics including language processing, semantic web, 5th generation languages, and multi-agent planning.
After finishing his Masters from Univ. of Cambridge he went on to build 4 startups – two in Silicon Valley, one in UK and one in Belgium. These days his focus is on applications of AI and IoT. In his free time, he writes and talks about to Artificial Intelligence, IoT and startups.

Speech data mining: not yet ready for retirement – Honza Černocký

    • Jazyk (language of the meetup): English
    • Datum a čas: středa 10. května 2017 od 18:30
    • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Abstrakt: Speech data mining (that will be represented by transcription and speaker verification in this talk) is an important application of machine learning. In addition to classical ML and computer science components, it also sources other sciences such as physiology, lexicography, and phonetics, making it a funny inter-disciplinary domain. The talk will present what we are doing in the BUT Speech@FIT group, from the ML basics, through evaluations, to hot topics. We will claim that not everything in speech data mining can be bought, that R&D is still needed and that we’re not yet ready for retirement.
Bio: Honza Černocký is Associate Professor (Docent) and Head of the Department of Computer Graphics and Multimedia at the Faculty of Information Technology, Brno University of Technology (FIT BUT). He also serves as the managing director of BUT Speech@FIT research group. He participated in research internships with ESIEE Paris, France and OGI Portland, Oregon, USA. His research interests include signal processing and speech data mining (speaker and language recognition, keyword spotting and spoken term detection). He was PI and co-PI of several local, European and US-funded projects. He served as co-chair of IEEE ICASSP 2011 in Prague and co-organized ASRU 2013. As faculty member of FIT BUT, he teaches signal-processing, pattern recognition, and speech related courses. Honza co-founded Phonexia in 2006 and helped launching two other speech start-ups.

Bradford Cross – How is Machine Learning used in Fintech? Vertical AI and its Applications in the Financial Services Industry

    • Jazyk (language of the meetup): English
    • Datum a čas: středa 12. dubna 2017 od 18:30
    • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Abstrakt: Financial services managed to avoid broad based technology disruption for decades until around 10 years ago with the rise of a number of different fintech categories like lendingclub for P2P lending and stripe for payments.

We will start by mapping the financial services sector into banking, insurance, investments, real estate and consumer financial services and looking at machine learning applications in each.

Then we will contrast modern machine learning approaches against traditional ‘quant finance.’

Finally, we will dive into specific applications like underwriting credit and insurance, risk scoring, product and marketing, financial crimes, real estate, and some more exotic ideas like using satellite imagery to make economic predictions on earth.

GoodAI: Road to General AI (Jan Feyereisl)

    • Jazyk (language of the meetup): English
    • Datum a čas: středa 29. března 2017 od 18:30
    • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
Abstrakt: In this talk I will first give a brief overview of initiatives that we undertake at GoodAI and that we believe will speed up the search for general artificial intelligence. These include the recently launched General AI Challenge and the AI Roadmap Institute. Then, I will dive a little deeper, technically, to talk about a number of concepts and theories on the intersection of machine learning, artificial intelligence, complexity science and cognition, that have largely been ignored by the majority of the AI community, yet could offer relevant insights for building more generally intelligent machines.
O speakerovi: Jan Feyereisl is the Executive Director of the AI Roadmap Institute and a Senior Research Scientist at GoodAI. He oversees the institute’s mission to accelerate the search for safe human-level artificial intelligence by encouraging, studying, mapping and comparing roadmaps towards this goal. As a scientist at GoodAI, together with his colleagues, he is developing general artificial intelligence – as fast as possible – to help humanity and understand the universe. He has a background in machine learning and artificial intelligence and experience that spans across academia, industry and continents. Before joining GoodAI, he co-founded a quantitative investment management firm, worked at Samsung Global R&D Headquarters and as a Research Fellow at universities in the United Kingdom and South Korea.

úterý 7. února 2017 – Silnice, co vidí auta, která po ní jedou (Adam Herout)

Abstrakt: „Lidi musí od rána do večera chodit do práce, aby si mohli koupit auto, které jim slouží k tomu, aby mohli jezdit do práce,“ řekl mi kdysi kamarád a možná na tom něco je. Doprava po silnici je tu s námi a je zdrojem radosti, úspěchu i mnohého trápení. Nemám recept, jak se toho trápení zbavit, vím ale, jak v tom trochu pomoct – zjišťovat o dopravě informace pomocí kamer. V přednášce promluvím o tom, v čem je potíž a jak s ní bojovat – pomocí strojového učení, geometrie a práce s daty.

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