Roundtable sponsors include:
Every Industry and vertical is using, considering, or scaling FPGAs in their compute strategy already. It's time to dig into the engineering and mechanics of how companies are leveraging FPGA and how they'll be used moving forward. In this series of roundtable discussions, Embedded Computing Design will bring together the leading voices in embedded engineering and business to discuss, debate, and delineate all the details for you. We will dig into FPGA's proven power for AI Acceleration, how FPGAs are optimizing and enabling Data Center and Server efficiency and power, the ways Automotive is leading the way in FPGA, and how FPGAs can drive sustainable computing solutions. Don't miss them, register now.
Every Industry and vertical is using, considering, or scaling FPGAs in their compute strategy already. It's time to dig into the engineering and mechanics of how companies are leveraging FPGA and how they'll be used moving forward. In this series of roundtable discussions, Embedded Computing Design will bring together the leading voices in embedded engineering and business to discuss, debate, and delineate all the details for you. We will dig into FPGA's proven power for AI Acceleration, how FPGAs are optimizing and enabling Data Center and Server efficiency and power, the ways Automotive is leading the way in FPGA, and how FPGAs can drive sustainable computing solutions. Don't miss them, register now.
Thu, Apr. 02, 2026 · 11:00 am (PDT)
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Because of their flexibility and programmability, FPGAs offer unique opportunities for AI acceleration. Thanks to a reconfigurable fabric for data processing, they can be deployed at the edge or in data centers and servers. In this discussion, the panel will talk about how to design for FPGA with AI acceleration in mind, and what is required for success.
Because of their flexibility and programmability, FPGAs offer unique opportunities for AI acceleration. Thanks to a reconfigurable fabric for data processing, they can be deployed at the edge or in data centers and servers. In this discussion, the panel will talk about how to design for FPGA with AI acceleration in mind, and what is required for success.
Director of Segment Marketing, Lattice Semiconductor
Hussein Osman is a semiconductor industry veteran, with 20+ years’ experience bringing multiple new technologies to market. Over the past 5 years he has been leading the sensAI solution development and go to market at Lattice semiconductor. Hussein is interested in creating usable and high-performance AI applications with a personal focus on medical electronics. Mr. Osman received his bachelor’s degree in Electrical Engineering from California Polytechnic State University in San Luis Obispo.
AI Fellow, Lattice Semiconductor
Nicolas Widynski joined Lattice Semiconductor in 2021 following its acquisition of Mirametrix, where he had been a member of the founding team since 2014. At Lattice Semiconductor, Nicolas leverages his extensive expertise in computer vision and machine learning to lead the company’s AI initiatives. He previously held two postdoctoral research positions at the University of Montreal, focusing on computer vision (2011–2013) and medical computer vision (2013–2014). He earned his Ph.D. in computer vision from Telecom ParisTech in 2010, and an M.Sc. from Telecom ParisTech and the University Pierre et Marie Curie (Paris VI) in 2007.
Wed, Jun. 17, 2026 · 11:00 am (PDT)
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FPGAs can provide servers and data centers with peak efficiency and optimization, outperforming CPUs and GPUs acceleration offload, network-traffic management, and storage allocation. In this panel, experts will talk about how FPGA can leverage configurable logic cell arrays, numerous power rails, and secure memory and boot functions for better and more powerful data centers.
FPGAs can provide servers and data centers with peak efficiency and optimization, outperforming CPUs and GPUs acceleration offload, network-traffic management, and storage allocation. In this panel, experts will talk about how FPGA can leverage configurable logic cell arrays, numerous power rails, and secure memory and boot functions for better and more powerful data centers.
AVP, Segment Marketing, Lattice Semiconductor
Mamta Gupta is AVP of Segment Marketing at Lattice Semiconductor, where she leads strategic business development for the data center, telecommunications, and security segments. With more than 20 years of experience in FPGA product development, she specializes in secure, high‑reliability solutions and leads Lattice’s post‑quantum cryptography (PQC) and baseboard management controller (BMC) strategy. She holds a BS and MS in Physics from St. Stephen’s College, University of Delhi, completed advanced program management at Stanford University, and has professional training in IC engineering from the University of California, Berkeley. She is also a recipient of the Women of Quantum Award.
Editor in Chief Embedded Computing Design
