Machine learning is once again taking center stage in this week’s Fish Fry podcast! Rod Metcalfe (Cadence Design Systems) joins me to discuss the role of machine learning in the future of chip design, why implementation teams are having a hard time keeping up with today’s advanced node designs, and how advancements in computer science are helping usher in a new age of intelligent chip design. I also take a closer look at how a team of researchers is using machine learning to help us more accurately predict how new materials deform, fail and even transfer heat at the atomic scale.

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Links for July 30, 2021

More information about Cerebrus Intelligent Chip Explorer

New Framework Applies Machine Learning to Atomistic Modeling (Northwestern University)

Multi-objective parametrization of interatomic potentials for large deformation pathways and fracture of two-dimensional materials (Whitepaper)

Chiplet Architecture Accelerates Delivery of Industry-Leading Intel® FPGA Features and Capabilities

Sponsored by Intel

With each generation, packing millions of transistors onto shrinking dies gets more challenging. But we are continuing to change the game with advanced, targeted FPGAs for your needs. In this video, you’ll discover how Intel®’s chiplet-based approach to FPGAs delivers the latest capabilities faster than ever. Find out how we deliver on the promise of Moore’s law and push the boundaries with future innovations such as pathfinding options for chip-to-chip optical communication, exploring new ways to deliver better AI, and adopting UCIe standards in our next-generation FPGAs.

To learn more about chiplet architecture in Intel FPGA devices visit https://intel.ly/45B65Ij

Intel's Chiplet Leadership Delivers Industry-Leading Capabilities at an Accelerated Pace

Sponsored by Intel

We're proud of our long history of rapid innovation in #FPGA development. With the help of Intel's Embedded Multi-Die Interconnect Bridge (EMIB), we’ve been able to advance our FPGAs at breakneck speed. In this blog, Intel’s Deepali Trehan charts the incredible history of our chiplet technology advancement from 2011 to today, and the many advantages of Intel's programmable logic devices, including the flexibility to combine a variety of IP from different process nodes and foundries, quicker time-to-market for new technologies and the ability to build higher-capacity semiconductors

To learn more about chiplet architecture in Intel FPGA devices visit: https://intel.ly/47JKL5h

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