We’re excited to invite you for the second edition of Know More event. This time we focus on machine learning.
Our guests from Brainly and Google DeepMind will describe some real business cases that machine learning helped to solve, dig into the past and most recent research in AI and talk on how to build partnerships with universities to leverage the power of machine learning for business.
More info on the topics and speakers below. The event is free, but PLEASE REGISTER at https://knowmore2.splashthat.com/.
Agenda:
- 17.45 – come in, find a spot and make yourself comfortable
- 18.00 – intro by Sergey Gerasimenko
- 18.15 – Erik Choi: Benefits of academic partnerships for machine learning developments
- 18.45 – Sashko Zakharchuk and Mateusz Burdzel: Personalization. Taking the user’s perspective
- 19.30 – break
- 19.40 – Janusz Marecki: Towards the Future of AI
- 21.00 – networking at Ursa Maior
The event is supported by omgkrk and Hive53.
Talk 1. Erik Choi: Benefits of academic partnerships for machine learning developments
Erik will share the story about how Brainly teamed up with Rutgers University and Novosibirsk State University to explore and design new machine learning algorithms that help improve existing Brainly products, lead to the development of new products for students’ learning performance, as well as increase the company’s credibility in educational fields on each market. He will discuss the importance of academic partnerships to invest research and development (R&D) as a critical component of the process of designing new machine learning algorithms, which enhances creativity and innovation for startups’ sustainable growth and long-term success.
Erik Choi is Principal Researcher at Brainly, managing research for user insights and product development. He received his Masters degree from New York University in Communication Management and Technology and completed his PhD in Information Science at Rutgers University. Erik has an extensive background in research around the topic of user experience and machine learning, especially in the context of social question-answering communities. Erik is a die-hard New York Knicks fan and the craziest Brainly employee of 2015 (a true story).
Talk 2. Sashko Zakharchuk and Mateusz Burdzel: Personalization
Taking the user’s perspective The talk will cover machine learning models for content recommendations, and some of the challenges that product team encounters when implementing these models in the real world.
Sashko Zakharchuk
After some years in product development and management consulting, Sashko joined Google to work on personalized recommendation systems and text processing algorithms. He is now providing advice to startups on machine learning.
Mateusz Burdzel
Mateusz is a Product Owner at Brainly, focusing on Machine Learning. Over the past five years, he lead the community strategy across all twelve Brainly international sites, and was Head of International Expansion to execute on company growth strategy for new markets. It is with this experience building new and strengthening the core community in mind that he focuses on bringing innovative ML solutions to facilitate a better learning experience for students on the Brainly platform.
Talk 3. Janusz Marecki: Towards the Future of AI
Recent years have seen a rising interest in developing AI algorithms for real world domains ranging from autonomous cars to personalized assistants. At the core of these algorithms are architectures that combine deep neural networks, for approximating the underlying multidimensional state-spaces, with reinforcement learning, for controlling agents that learn to operate in said state-spaces towards achieving a given objective. In his talk Janusz will first outline notable past and future efforts in deep reinforcement learning as well as identify fundamental problems that this technology has not been able to overcome. Towards mitigating these problems, to open up an alternative path to general intelligence, he will then summarize a cortical computing model of intelligence, rooted in the latest findings in neuroscience. The talk will conclude with an overview of Janusz’s recent research efforts in the field of multi-agent systems, to provide the heterogenous future teams of humans and agents with necessary tools that allow them to safely co-exist.
Janusz Marecki is currently a senior research scientist at DeepMind. Prior to joining DeepMind, Janusz was a research staff member in the cognitive computing division of IBM T.J. Watson Research, a research assistant at the European Laboratory for Nuclear Research (CERN), a research associate at the Ukrainian Academy of Sciences and a lecturer at the Academy of Computer Sciences in Poland. Janusz holds two separate Ph.D degrees: In artificial intelligence form from the University of Southern California and in mathematical modeling from the State Scientific and Research Institute of Information Infrastructure in Ukraine. An author of over 100 refereed publications and 7 patents and a recipient of a commendation from the Los Angeles Airport Police, a commendation from the Department of Homeland Security and an Invention Award from an IBM CEO, Janusz’s current research interests are in reinforcement learning, neural networks and cortical computing.
