The core Julia developers give an overview of the latest changes to the Julia language and upcoming features in subsequent releases.
ANSYS
Prith Banerjee is Chief Technology Officer at ANSYS and is responsible for driving the long-term technology strategy of the company. Prior to that, he was CTO of Schneider Electric, CTO of ABB, Managing Director at Accenture, and Director of HP Labs. Previously, he spent 20 years in academia as Professor, Chairman and Dean at the University of Illinois and Northwestern University. In addition, Prith has founded two EDA software companies, Accelchip and Binachip. He has served on the Board of Directors of Cray, CUBIC, and Turntide. He is a Fellow of the AAAS, ACM and IEEE. He received a B.Tech. in electronics engineering from the Indian Institute of Technology, Kharagpur, and an M.S. and Ph.D. in electrical engineering from the University of Illinois, Urbana
Digital twins have been used to model complex physical systems to predict their behaviour accurately. In this talk, I will present the concept of a hybrid digital twin on the Industrial Metaverse that combines AI/ML based analytics and physics-based simulation to build digital twins that are very accurate, require less training data, and drive high operational efficiency, illustrating how a platform such as JuliaHub can be used to build hybrid digital twins.
Julia Lab, MIT
Dr. Robert (Bob) M. Metcalfe is widely known for being the co-inventor of Ethernet and Metcalfe's Law, which describes the influence of a telecommunications network. He has won numerous awards for his work: notably the Turning Award in 2022, the National Medal of Technology and Innovation awarded by the US Government in 2005 and the IEEE Medal of Honor in 1996. He co-founded 3Com, a networking equipment manufacturer in 1979, which is now part of HP, and was a professor of innovation at the Cockrell School of Engineering at UT Austin from 2011-2021. Since 2022, Dr. Metcalfe is a research affiliate at the Julia Lab at MIT.
Join us as we converse with Dr. Metcalfe and explore his user journey towards the Julia programming language.
UC San Diego
Karandeep Singh, MD, MMSc is the Joan and Irwin Jacobs Chancellor’s Endowed Chair in Digital Health Innovation and Associate Professor in Biomedical Informatics at UC San Diego, where he also serves as Chief Health AI Officer for UC San Diego Health. In these roles, Dr. Singh leads AI initiatives within the Jacobs Center for Health Innovation and oversees AI strategy and governance for the health system. He completed his internal medicine residency at UCLA Medical Center, where he served as chief resident, and a nephrology fellowship in the combined Brigham and Women’s Hospital and Massachusetts General Hospital program. He completed his medical education at the University of Michigan Medical School and holds a master’s degree in medical sciences in Biomedical Informatics from Harvard Medical School.
Healthcare systems face numerous challenges in operating efficiently and serving the needs of our patients and communities, including problems with healthcare access, quality, and safety. In this talk, Dr. Singh will address why these operational challenges have been difficult to solve with technology before, and how we should rethink our approaches to these problems using computational methods like generative AI and simulation.
The solution of a linear system, i.e., given a matrix A and vector b, finding a vector x satisfying Ax = b, is one of the oldest problems in mathematics. Gaussian elimination is one of the most fundamental and well-known techniques for solving linear systems, by factoring a matrix into the product of a lower and upper triangular matrix. Surprisingly, a number of questions regarding the numerical stability of this algorithm remains. In this talk, we will study the history of this subject, a story that spans eighty years, and discuss some recent progress. We'll also highlight the role of Julia in this progress.
