We strongly believe that knowledge is better when shared with others. That’s why Brainly has built a platform for students to help other students with their studies, and a company culture that celebrates continuous learning. It’s also why we are so pleased to organize a series of events called ‘Know More’ with the goal of sharing unique knowledge and skills with the Kraków community.
This time we meet to dig into machine learning from different perspectives. We’ll hear more about how to create a space for collaboration between business and academic work and how machine learning can solve business problems. If you are interested in deep reinforcement learning and multi-agent systems - you’ll get a chance to learn about that too!
We strongly believe that knowledge is better when shared with others. That’s why Brainly has built a platform for students to help other students with their studies, and a company culture that celebrates continuous learning. It’s also why we are so pleased to organize a series of events called ‘Know More’ with the goal of sharing unique knowledge and skills with the Kraków community.
This time we meet to dig into machine learning from different perspectives. We’ll hear more about how to create a space for collaboration between business and academic work and how machine learning can solve business problems. If you are interested in deep reinforcement learning and multi-agent systems - you’ll get a chance to learn about that too!
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).
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.
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.
Erik 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 will also share the story about how Brainly team up with Rutgers University, Columbia University and Novosibirsk State University, for the US and Russia markets respectively, 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.
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.
