Program – Brno

Nadcházející meetupy

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.

Minulé meetupy

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)

    • Jazyk (language of the meetup): česky
    • Datum a čas: 7. února 2017 od 17:30
    • Místo: Impact Hub Brno, Cyrilská 7, Brno
  • Sociální sítě: Facebook událost, Meetup.com událost
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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