With over three decades of expertise, David Chen has been at the forefront of semiconductor and silicon IP innovation, driving technological breakthroughs that help shape modern computing. Among his notable achievements is his contribution to the IEEE 754™-2019 Standard for Floating-Point Arithmetic, where he identified and resolved a significant non-associativity erratum in the IEEE 754™-2008 Standard. His solution, which received unanimous approval from the Standard Committee, underscores his deep technical insight. David’s leadership in the field earned him a voting membership in the IEEE P3109 committee, focused on pioneering next-generation standards for data formats and operations crucial to machine learning (ML), deep learning (DL), and artificial intelligence (AI).Amidst the global pandemic, David founded Arith Inc., a company dedicated to advancing computer arithmetic research and semiconductor IP development. Arith has made significant strides, including securing a federal grant from the National Science Foundation and establishing collaborations with academic and industry leaders. Notably, Arith partnered with UC Berkeley to propose a groundbreaking project for the U.S. Air Force, leveraging its patent-pending “mightyFP™” technology—a novel AI acceleration silicon IP designed for compact floating-point formats. This innovation exemplifies Arith’s commitment to energy-efficient, high-performance AI solutions, targeting applications in edge devices, AR/VR platforms, and beyond.Arith now boasts four pending patents as it continues to innovate IPs applicable to 8-bit or smaller formats, OCP MX, or the upcoming IEEE 3109 standards. The company actively engages with esteemed industry experts like UC Berkeley Distinguished Professor James Demmel and former Cadence Chief Architect Bill Huffman, pioneering configurable silicon IPs that align with emerging standards.David’s recent contributions extend to Meta’s Orion – the “most advanced pair of AR glasses ever made.” Meta has recognized David’s ability to unlock the potential of their “contextual” AI through arithmetic acceleration silicon IPs, and asked him to further contribute to their ML chip development. His work exemplifies Arith’s mission to deliver scalable, transformative AI technologies to global markets.Looking toward the future, David continues to contribute to 3109 standard development and 754™-2029 revision works. His dedication to innovation, collaboration, and standardization remains steadfast, driving the evolution of AI and semiconductor technologies for a better world.