ACM ByteCast

In this episode of ACM ByteCast, Bruke Kifle hosts 2024 ACM Prize in Computing recipient Torsten Hoefler, a Professor of Computer Science at ETH Zurich (the Swiss Federal Institute of Technology), where he serves as Director of the Scalable Parallel Computing Laboratory. He is also the Chief Architect for AI and Machine Learning at the Swiss National Supercomputing Centre (CSCS). His honors include the Max Planck-Humboldt Medal, an award for outstanding mid-career scientists; the IEEE CS Sidney Fernbach Award, which recognizes outstanding contributions in the application of high-performance computers; and the ACM Gordon Bell Prize, which recognizes outstanding achievement in high-performance computing. He is a member of the European Academy of Sciences (Academia Europaea), a Fellow of IEEE, and a Fellow of ACM. In the interview, Torsten reminisces on early interest with multiple computers to solve problems faster and on building large cluster systems in graduate school that were later turned into supercomputers. He also delves into high-performance computing (HPC) and its central role in simulation and modeling across all modern sciences. Bruke and Torsten cover the various requirements that power HPC, the intersection of HPC and recent innovations in AI, and his key contributions in popularizing 3D parallelism for training AI models. Torsten highlights challenges, such as AI’s propensity to cheat, as well as the promise of turning reasoning models into scientific collaborators. He also offers advice to young researchers on balancing academic learning with industry exposure. We want to hear from you!

In this episode of ACM ByteCast, Rashmi Mohan hosts ACM Fellow and 2016 ACM Software System Award recipient Alfred Spector, Professor of Practice in the MIT EECS Department. He was previously CTO of Two Sigma Investments, and before that Vice President of Research and Special Initiatives at Google. Alfred played a key role in developing the Andrew File System (AFS), a breakthrough in distributed computing that later became a commercial venture. He is also known for coining the term “CS + X.” He is a Fellow of the American Academy of Arts and Sciences, Hertz Foundation, and National Academy of Engineering, and recipient of the IEEE Kanai Award for Distributed Computing.Alfred recounts how he initially pursued programming out of personal enjoyment in college. He talks about developing AFS at Carnegie Mellon University, the challenges of turning academic research into commercial products, and the transition from academia to entrepreneurship, sharing some of the lessons learned along the way. Alfred touches on his time at IBM, which acquired his startup Transarc, and the differences between startups and large corporations. He also talks about some of his most notable work as a technical leader at Google, such as Google Translate. Finally, he offers a unique perspective on the rapid evolution of AI and advocates for a more multidisciplinary approach for developing responsible technology.“Google’s hybrid approach to research” paper“More Than Just Algorithms” (ACM Queue article)

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes Kate Kallot, founder and CEO of Amini, an impact-driven AI company based in Nairobi, which focuses on the critical issue of data scarcity in Africa and its implications for AI development. Before Amini, her career spanned leadership positions at global tech companies, including NVIDIA, where she led global developer relations and expansion into emerging markets, and Arm, where she was a pivotal figure in the Tiny Machine Learning (TinyML) movement. At Intel, she led the development of the world’s first AI development kit in a USB form factor, the Neural Compute Stick, bringing computer vision and Al to IoT and edge devices to millions for the first time. Kate is a recognized expert and influencer in the AI field, advising international organizations and governments on the potential and challenges of AI for good. Her work has been recognized by TIME’s 100 Most Influential People in AI, the World Economic Forum as a Tech Pioneer, and One Young World as Entrepreneur of the Year 2024. A trusted voice in global AI policy and digital equity, Kate serves as Vice Chair of the ICC Global Environmental and Energy Commission and is a member of EY’s Global AI Advisory Council.In the interview, Kate explains the barriers to AI adoption in Africa, stemming from challenges with digital and environmental data infrastructure. She shares her work collecting and validating data in key areas such as climate and agriculture through state-of-the-art technologies and partnerships with private companies, using a bottom-up approach. Kate and Scott also talk about Amini’s commitment to open source and community collaboration in areas such as geospatial data science, and the global applications of Amini’s work in Africa to other geographies with similar characteristics.We want to hear from you!

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes ACM Fellow Peter Lee, President of Microsoft Research. As leader of Microsoft Research, Peter incubates new research-powered products and lines of business in areas such as AI, computing foundations, health, and life sciences. Before Microsoft, he established a new technology office that created operational capabilities in ML, data science, and computational social science at DARPA, and before that he was head of the CS department at CMU. Peter served on President Obama’s Commission on Enhancing National Cybersecurity and has testified before both the US House Science and Technology Committee and the US Senate Commerce Committee. He coauthored the bestselling book The AI Revolution in Medicine: GPT-4 and Beyond. In 2024, he was named by Time magazine as one of the 100 most influential people in health and life sciences. In the interview, Peter reflects on his 40+ years in computer science, from working on PDP-11s and Commodore Amigas to modern AI advancements. He highlights how modern technologies, built on decades of research, have become indispensable. He also talks about his healthcare journey, including work that earned him election to the National Academy of Medicine, and the potential (and limitations) of AI in medicine. Peter and Scott touch on the impact of LLMs, the lack of ethics education in traditional CS curricula, the challenges posed by growing AI complexity. Peter also highlights some important Microsoft Research work in AI for Science and Quantum Computing.

In this episode of ACM ByteCast, Rashmi Mohan hosts Travis S. Humble, Director of the Quantum Science Center (QSC), a Distinguished Scientist at Oak Ridge National Laboratory, and Director of the lab’s Quantum Computing Institute. He leads the development of new quantum technologies and infrastructure to impact the DOE mission of scientific discovery through quantum computing. As director of the QSC, Travis leads the innovation of scalable, resilient quantum information technologies through new materials, devices, and algorithms and facilitates the transfer of quantum technologies to the broadest audience. He also holds a joint faculty appointment with the University of Tennessee Bredesen Center for Interdisciplinary Research and Graduate Education working with students on energy-efficient computing solutions. Travis is Editor-in-Chief for ACM Transactions on Quantum Computing, Associate Editor for Quantum Information Processing, and Co-Chair of the IEEE Quantum Initiative. Travis describes his journey into quantum computing, which began in theoretical chemistry, where he studied quantum processes in chemical reactions. He explains the difference between classical and quantum computing and why quantum computing is particularly well suited for scientific applications such as drug discovery and energy solutions. He talks about Oak Ridge’s quantum computing resources and how researchers can access them. Travis also stresses the role education in advancing quantum computing and shares his predictions for its near future.

In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)’s For Your Informatics podcast, Sabrina Hsueh hosts accessibility researcher and inventor Chieko Asakawa, an IBM Fellow at the IBM T.J. Watson Research Center, the Chief Executive Director of The National Museum of Emerging Science and Innovation (Miraikan) in Japan, and an IBM Distinguished Service Professor at Carnegie Mellon University. Chieko’s inventions include the Home Page Reader (HPR); a word processor for Braille documents; a digital library for Braille documents; an application to improve accessibility of streaming services; and, most recently, the AI Suitcase project. Her career has been recognized with numerous prestigious awards and honors, including becoming the first Japanese woman IBM Fellow in 2009, receiving the “Medal of Honor with Purple Ribbon” from the Emperor of Japan in 2013, her induction into the US National Inventors Hall of Fame in 2019, being named a Fellow of the National Academy of Inventors, and the ACM SIGACCESS Award for Outstanding Contributions to Computing and Accessibility in 2024.In the interview, Chieko shares how becoming blind early in life led her to work in accessibility research. She talks about her IBM team’s work on the Home Page Reader, the first practical voice browser to provide effective internet access for blind and visually impaired computer users, as well as more recent work on the AI suitcase, a robot that helps visually impaired people walk around and navigate independently. Chieko and Sabrina touch on AI’s potential in aiding accessibility and the inspiration for the AI Suitcase. She offers advice and best practices for both early and mid-career researchers and interdisciplinary professionals.

In this episode of ACM ByteCast, Bruke Kifle hosts ACM Fellow and ACM Distinguished Service Award recipient Jennifer Chayes, Dean of the College of Computing, Data Science, and Society at UC Berkeley. Before joining Berkeley, she co-founded the Theory Group at Microsoft Research Redmond and later founded and led three interdisciplinary labs: Microsoft Research New England, New York City, and Montreal. Her research areas include phase transitions in CS, structural and dynamical properties of networks including graph algorithms, and applications of ML. Jennifer is one of the inventors of the field of graphons, widely used for the ML of large-scale networks. Her recent work includes generative AI and ML theory in areas like cancer, immunotherapy, climate change, and ethical decision making, with more than 150 scientific papers authored and 30 patents she co-invented. Her honors and recognitions include the Anita Borg Institute Women of Vision Leadership Award, SIAM’s John von Neumann Lecture Award (the highest honor bestowed by SIAM), and election to the American Academy of Arts and Sciences and the National Academy of Sciences. She serves on numerous boards and advisory committees and has served on the ACM A.M. Turing Award Selection Committee.Jennifer shares her early experience as the child of Iranian immigrants, dropping out of high school and learning to embrace risk. She describes her journey from being a pre-med biology major to a PhD in mathematical physics, and how her love of theory and an interest in interdisciplinary work led her to start a Theory Group at Microsoft Research. She also relates how her later interest in economics and game theory led to the founding of Microsoft Research New England, and highlights some of her work there. She and Bruke talk about the challenges she has navigated throughout her career, and how that has influenced her approach to interdisciplinary research. Jennifer also shares her vision and goals for the College of Computing, Data Science, and Society at UC Berkeley. Finally, she opines on the skills needed for future leaders in computing, some of the urgent problems of our time, and offers some advice to young computing professionals.