**Yaniv Altshuler**

Dr. Yaniv Altshuler is an MIT researcher, an experienced entrepreneur, and an industry-leading expert on artificial intelligence and data analysis. Altshuler's career has been dedicated to research and development in artificial intelligence. His approach is centered around the rigorous theoretical analysis of decentralized and scalable AI methods, aiming to discover new insights and opportunities for improving AI systems and their applications. Since receiving his PhD in Computer Science, Dr. Altshuler has worked with MIT Prof. Alex "Sandy" Pentland on the development of the new field of Social Physics. Yaniv has published over 70 scientific papers and filed 17 patents. His research has been covered by Harvard Business Review, the Financial Times, Communications of the ACM, IEEE Spectrum, and others. His book on Security and Privacy in Social Networks was published in 2012, followed by a second book on Swarms and Network Intelligence in 2017, and a third book on Applied Swarm Intelligence, to be published in 2023. Over the past decade, Dr. Altshuler has used his expertise to advise leading financial institutes and government agencies worldwide. He is committed to advancing the field of AI by creating systems that are ethical, robust, and accessible to all.

#### **Francisco Camara Pereira**

Francisco Camara Pereira is a Professor at the Technical University of Denmark (DTU), where he leads the Machine Learning for Smart Mobility department . His research is concerned with the methodological combination of machine learning and transport research, and some of his preferred applications generally relate to transportation research problems, demand modeling, behavior modeling, transport modeling, real-time traffic prediction, advanced data collection technologies, simulation metamodeling, and anomaly detection. He has been the Marie Curie Fellow twice (2011 and 2016) and has published over 50 articles in both the machine learning and transport research fields. Before joining DTU, he was a Senior Research Scientist with SMART/MIT (2011–2015) and Assistant Professor at the University of Coimbra (2005–2015).

#### **Eli David**

Dr. Eli David is a leading AI expert specializing in deep learning and evolutionary computation. He has published over fifty papers in leading artificial intelligence journals and conferences, mostly focusing on the applications of deep learning and genetic algorithms in various real-world domains. For the past fifteen years, he has been teaching courses on deep learning and evolutionary computation, in addition to supervising the research of graduate students in these fields. He has also served in numerous capacities, successfully designing, implementing, and leading deep-learning-based projects in real-world environments. Dr. David received the Best Paper Award in 2008 at the Genetic and Evolutionary Computation Conference, the Gold Award in the prestigious "Humies" Awards for Human-Competitive Results in 2014, and the Best Paper Award in 2016 at the International Conference on Artificial Neural Networks. He is the developer of Falcon, a grandmaster-level chess-playing program based on genetic algorithms and deep learning, which reached second place in the World Computer Chess Championship. Dr. David has co-founded several successful deep-learning-based companies, including Deep Instinct, recognized by Nvidia as the "Most Disruptive AI Startup"; DeepCube, which was acquired by Nano Dimension in early 2021; Marpai Health, which recently went public on Nasdaq; and Emporus Technologies, an AI-based fintech company. He also serves as an AI consultant to several Fortune 500 companies, and major venture capital and private equity firms. He is a frequently invited speaker to prestigious AI venues, and a member of Forbes Technology Council.
