Augmented Intelligence for End-to-End Design

Chiplet and disaggregated architectures are rapidly becoming mainstream across applications from edge to server. Yet the resulting design complexity exceeds the capabilities of today’s tools, flows, and methodologies—particularly when aiming for highly optimized solutions at scale.
Augmented Intelligence, the combination of human expertise and machine intelligence, offers a transformative approach to this challenge. By assigning strategic, high-level decision-making to engineers and delegating computationally intensive, iterative tasks to AI, this framework enables multi-level and multi-domain optimization. The result is the ability to generate a far greater number of custom-optimized designs with the same resources—delivering competitive products with higher quality and faster time-to-market.
At Intel, in collaboration with partners, we have developed and deployed Augmented Intelligence solutions spanning silicon to system design and hardware to software design. These efforts have demonstrated efficiency gains exceeding 90% in critical areas. In this talk, I will share practical examples and key insights from several years of applying Augmented Intelligence to end-to-end design, highlighting how human–AI collaboration is reshaping the path to innovation.
There will not be any recording. Please attend in person.
Speaker(s): Olena Zhu,
Agenda:
5:30-6:15pm: Light Dinner/Social
6:15: Chapter Admin and then Presentation
Room: Conf SJ5-1 Lake Tahoe, Bldg: Building 6, 2655 Seely Ave, Cadence, san jose, California, United States, 95134