Carnegie Mellon University
Tom M. Mitchell is the Founders University Professor at Carnegie Mellon University, where he founded the world's first Machine Learning Department. His research interests include machine learning, artificial intelligence, cognitive neuroscience, and the impact of AI on society. A current focus is on AI and education, where he has worked closely with organizations that field computer learning environments to millions of students, including Squirrel AI in China, and CK12.org in the U.S. He has testified to a variety of U.S. congressional committees regarding potential uses and impacts of artificial intelligence, and is currently co-chairing a U.S. National Academies study on AI and the future of work, as well as a task force studying Generative AI for the Special Competitive Studies Project. Mitchell is an elected member of the U.S. National Academy of Engineering, and the American Academy of Arts and Sciences, and a Fellow and Past President of the Association for the Advancement of Artificial Intelligence (AAAI).
Keynote Title: Five Trends in Generative AI
Abstract: Generative AI systems such as ChatGPT and DALL-E represent an inflection point in technical progress in AI. They exhibit new abilities that were unpredicted just a few years ago, from passing the entrance exams to law school, to writing mathematical proofs in the form of poetry. Where is this technology headed? Although nobody can predict the future, we should still try. This talk will present five fundamental trends that I believe will help shape the future of generative AI over the coming years.
University of Illinois at Urbana-Champaign
Derek Hoiem is a Professor in Computer Science at the University of Illinois at Urbana-Champaign, and an IEEE Fellow, with a PhD in Robotics from Carnegie Mellon University. Derek is also co-founder and Chief Science Officer of Reconstruct, which uses computer vision to compare plans to actuals for construction management and inspection. Derek’s research focuses on creating general vision systems that can adapt to new tasks and environments and on modeling 3D scenes from images. Research awards include Sloan Fellowship, IEEE PAMI Young Researcher Award, University Scholar Award, and best paper and test of time prizes.
Keynote Title: Towards General Purpose Vision
Abstract: A transformation is happening in AI. GPT achieves amazing performance and flexibility in language tasks by learning to generate the most likely next word. Now, multimodal systems are being developed that can leverage vision, language, and controls by learning to encode and generate images, text, and audio. These systems are not optimized for narrow tasks, but can be serve a broad range of applications, such as recognition, question answering, image synthesis, and video analysis. I will talk about the progress made toward such general purpose vision and multimodal systems, as well as some of the wide open problems that continue to limit the capabilities of AI.
SVP, Technology and CISO for LexisNexis Risk Solutions
Flavio Villanustre is a seasoned technology executive, data science expert, and cybersecurity specialist. A trained MD and Neurosurgeon, he has dedicated his professional life to Computer Engineering and Computer Science, with over three decades of experience leading transformative technology projects. Flavio's interest in emerging technologies has driven him to novel fields such as Artificial Intelligence, Blockchain and Quantum Computing, which led him to his successful participation in the 2020 IBM Qiskit challenge. He is a vocal advocate for open-source initiatives, a sought-after speaker, and a visionary leader driving innovation at the intersection of quantum computing, data science, and cybersecurity.
Keynote Title: Embracing the Technological Renaissance: From AI to Quantum Leap
Abstract: In a world marked by rapid technological evolution, we find ourselves in truly exhilarating times. From the AI boom of the 1980s to the quantum leap of today, our journey through the digital age has been nothing short of remarkable. This keynote explores the pivotal moments that have defined our technological landscape since the 1980s, from the birth of the Internet to the rise of Big Data, Machine Learning, and Deep Learning. We delve into the captivating realm of generative AI, where machines create art, and overlay a timeline with the development of quantum computing, including universal gate-based quantum computers and adiabatic quantum optimizers. As we reflect on the past and gaze into the future, we'll discover how these innovations have made an indelible impact on science, technology, medicine, and beyond. But in this complex world, we must also acknowledge the challenges and ethical considerations that arise. Join us in exploring the exciting opportunities and potential pitfalls of our technological renaissance and learn how each of us can make a difference as we navigate this ever-changing landscape.
University of Muenster, Germany
Sergei Gorlatch has been Full Professor of Computer Science at the University of Muenster (Germany) since 2003. Earlier he was Associate Professor at the Technical University of Berlin, Assistant Professor at the University of Passau, and Humboldt Research Fellow at the Technical University of Munich, all in Germany. His research interests include algorithms, software, and applications for high-performance parallel and distributed systems, as well as e-Learning and educational research. Prof. Gorlatch has more than 200 peer-reviewed publications in refereed international books, journals, and conferences. Sergei Gorlatch holds MSc degree in Applied Mathematics and Computer Science from the National State University of Ukraine in Kiev, PhD degree in Computer Science from the Institute of Cybernetics of the Ukrainian Academy of Sciences, and Habilitation degree in Computer Science from the University of Passau in Germany.
Keynote Title: Future Applications Based on Mobile Cloud and Software-Defined Networks
Abstract: We consider an emerging class of challenging software applications called Real-Time Online Interactive Applications (ROIA). ROIA are networked applications connecting a potentially very high number of users who interact with the application and with each other in real time, i.e., a response to a user’s action happens virtually immediately. Typical representatives of ROIA are multiplayer online computer games, advanced simulation-based e-learning and serious gaming. All these applications are characterized by high performance and QoS requirements, such as: short response times to user inputs (about 0.1-1.5 s); frequent state updates (up to 100 Hz); large and frequently changing numbers of users in a single application instance (up to tens of thousands simultaneous users). This talk will address two challenging aspects of software for future Internet-based ROIA applications: a) using Mobile Cloud Computing for allowing high application performance when a ROIA application is accessed from multiple mobile devices, and b) managing dynamic QoS requirements of ROIA applications by employing the emerging technology of Software-Defined Networking (SDN).