Piotr Mirowski is a Staff Research Scientist at DeepMind. He is mainly interested in reinforcement navigation-related research, in scaling up autonomous agents to real-world environments and in weather and climate modeling, but has also investigated the use of AI for artistic human and machine-based co-creation. After studying computer science in France, he obtained his Ph.D. at NYU (Outstanding Dissertation Award) under the supervision of Prof. Yann LeCun. He worked at Schlumberger Research, at the NYU Comprehensive Epilepsy Center, at Bell Labs, and Microsoft Bing on topics like epileptic seizure prediction from EEG, the inference of gene regulation networks, information retrieval and search query autocompletion, WiFi-based geolocalisation, and robotic navigation.

Ishan Misra finished his Ph.D. at the Robotics Institute at Carnegie Mellon University in 2018. He has since then been working as a Research Scientist at Meta AI Research (FAIR). His main research interests are Computer Vision and Unsupervised Learning, having published multiple research papers on Self-Supervised Learning and Visual Representation, together with prominent researchers like Yann LeCun and Martial Hebert. Ishan's works have won multiple awards such as the best paper award at WACV 2014 and best paper nomination at CVPR 2021. Ishan was also a guest on the Lex Fridman Podcast and ML Street Talk.

Tomáš Mikolov, PhD is a Senior Researcher at the Czech Institute of Informatics, Robotics and Cybernetics in Prague. Before that, he conducted research at John Hopkins University, University of Montreal, and the Brno University of Technology from which he obtained PhD in 2012 for RNN-based language models. Later that year he joined Google Brain where he worked on neural networks applied to natural language processing problems such as representation learning (the word2vec project), neural language modeling and machine translation. During his work at Facebook AI Research, he co-authored fastText – library for text classification and representation learning. In 2020 he moved to Prague, to form a new research group at Czech Technical University focused on evolving mathematical models - the foundation of general AI.

Ivona is an Artificial Intelligence and Machine Learning Engineer & Researcher with a focus on Computer Vision. She holds a Master's and Bachelor's degree in Mathematics from the University of Warsaw and is currently pursuing a Ph.D. in Computer Science at the Polish-Japanese Academy of Information Technology. The topic of her doctoral thesis is """"Artificial neural networks for multimodal data embeddings and classification"""". Currently, Ivona works as a Tech Lead and Senior AI Engineer at a software company Tooploox. Her area of expertise involves image recognition, object detection, object segmentation, 3D data analysis, time series prediction, and generative adversarial networks. She has published her research at major AI/ML conferences and journals, such as CVPR, IEEE Access, ICONIP and has presented her work at technology conferences in Los Angeles, New York, Lausanne, Prague, Salt Lake City and more. Ivona is also a prominent AI artist, working with photography and GANs. Her artworks are exhibited at galleries worldwide and were recently sold at a prestigious auction house Sotheby's in New York.

Wojciech Rosinski is CTO in ReSpo.Vision, a SportTech startup aiming to revolutionize football analytics by leveraging the latest, cutting-edge AI research to watch & analyze football games providing players, scouts, managers, clubs and federations with unmatched depth of knowledge. He has extensive experience in both R&D and industry projects, where he was working on diverse projects spanning computer vision, natural language processing and tabular data. He is a Kaggle Master with 2 gold medals and multiple high finishes.

Andrew has a B.Sc. Hons, in Physics with Computing Physics from University College Swansea, an M.Sc. (Eng.) by research from Liverpool University, and a Ph.D. in Speech Science from University College London. Andrew worked at BT Labs. on ASR, and lead teams on TTS, Avatars and multi-modal distributed systems. in 1999 he joined the University of East Anglia as a Sr. Lecturer. He join Nuance in 2001 as founder for their TTS organisation, eventually becoming Director of TTS Research, and Product Development in India and China. In 2017 he joined Amazon as the Sr. Manager for research in Amazon’s TTS organization.

Mateusz's great passion is modeling and mathematical approximation of complex mechanisms that rule our world. For over two years now, his work has been focusing mainly on natural language processing. Currently, he focuses on merging two worlds: world of NLP along with real word use cases, such as automatic assessment of English open-ended language tests. Privately, he worships all kinds of art.

Adam is AI Applied Research Scientist in the Intel Audio team in Gdansk, Poland. He received a Ph.D from Gdansk University of Technology (GUT) in 2013. He worked on methods for speech intelligibility improvement. At Intel he was involved in many projects devoted to speech and voice processing. He developed algorithms and IP blocks like beamforming, reverb reduction, noise reduction or automatic gain control. That solutions are used in client products (laptops) and IOT (smart speakers, smart fridges, smart microwaves, kitchen robots).