All speakers are soon to be announced.
Peter Wallenberg Jr is Chair of Wallenberg Foundations.
Peter Wallenberg Jr will give an opening speech on day one.
Yaron Shaer serves as Chief Technology Officer at Klarna and is a member of the executive management team, overseeing the company’s global technology strategy and engineering organization. Since joining Klarna in 2014, Yaron has played a pivotal role in scaling Klarna’s technical capabilities and building the infrastructure that supports millions of consumers and merchants around the world.
With a background as a hands-on engineer and deep experience leading high-performing development teams, Yaron has been instrumental in Klarna’s transformation from a regional payments provider to a global fintech innovator. Prior to becoming CTO, he held several senior engineering leadership roles.
Nicklas Berild Lundblad is a senior advisor, researcher and writer. He previously has led the global public policy team at Google DeepMind, and built a tech policy team at Stripe. He also spent more than 13 years at Google in various leading positions. He has been a part of the Swedish AI-commission, the spanish AI-advisory group and various expert groups.
Joel Hellermark is the Founder and CEO of Sana, the AI agent and knowledge platform. Sana has raised over $130 million from NEA, EQT, and Menlo to date. An enterprising child, Joel taught himself programming in C at age 13 and founded his first company, a video recommendation engine, at 16.
Recently, Sana was listed by Forbes as one of the top 50 AI companies in the world. For his work during the COVID-19 pandemic, The Guardian named Joel among the top 10 under-35s changing the world for the better.
Joel Hellermark will give a keynote with the title: Generative AI’s next arc
Anders Ynnerman is a Professor in Scientific Visualization at Linköping University, Chair of the WASP Board and Director of Strategic Research at Knut and Alice Wallenberg Foundations.
Anders Ynnerman will give a keynote with the title: Accelerating innovation through AI Compute.
Anna Goldie is a Senior Staff Research Scientist at Google DeepMind, where she works on RL post-training for Gemini. Previously, she was an early employee at Anthropic, where she worked on LLM research for Claude. Prior to that, she co-founded/led the ML for Systems team at Google Brain, where she developed deep reinforcement learning approaches to problems in computer systems and chip design.
She earned a PhD in Computer Science from Stanford University, and graduated from MIT with a Bachelors / Masters of Computer Science, and a Bachelors of Linguistics. She was named one of MIT Technology Review’s 35 Innovators Under 35, and her work has been published in Nature, NeurIPS, ICLR, EMNLP, COLM, ISPD, ICLAD, ASPLOS, SysML, and MLCAD, and covered by CNBC, ABC News, IBTimes, WIRED, MIT Technology Review and IEEE Spectrum.
Anna Goldie will give a keynote with the title: AlphaChip: Towards End-to-End Chip Design Automation
Abstract
In this talk, I will describe AlphaChip, a deep reinforcement learning method capable of generating superhuman chip layouts in hours, rather than weeks or months of human effort. AlphaChip was one of the first reinforcement learning methods deployed to solve a real world engineering problem, and it has designed chip layouts in the last four generations of Google TPU, as well as other chips across Alphabet and by external chipmakers. I will then discuss how we can move towards a future in which custom silicon is designed end-to-end with AI-based methods, and make predictions about the future of semiconductor design based on my experience working with large language models (LLMs).
