Moores Lab AI (https://www.mooreslab.ai), a frontrunner in agentic AI options for silicon engineering, is proud to announce the appointment of two distinguished {industry} consultants to its Advisory Board: Tom Fitzpatrick, a globally acknowledged authority in digital design automation (EDA), and Ram Sriharsha, a seasoned machine studying innovator and Apache Spark contributor whose expertise connects large-scale analytics with superior AI techniques.
Tom Fitzpatrick — EDA Requirements & AI in Silicon Engineering
Tom Fitzpatrick is a long-standing chief within the improvement of industry-standard methodologies and applied sciences that underpin fashionable chip design and verification. Tom is the CEO of Massive Fish EDA Consulting, having served till not too long ago as a Strategic Verification Architect at Siemens EDA, and he continues his management and supporting roles within the Accellera Transportable Stimulus, UVM Blended Sign (UVM-MS), and SystemVerilog Blended-Sign Interface (SV-MSI) Working Teams, and is Chair of the IEEE 1800 SystemVerilog Working Group. He’s deeply concerned with main {industry} conferences, serving on the DVCon U.S. Steering Committee as Previous Chair, and has served on the Government Committee of the Design Automation Convention (DAC). Tom earned BS/MS levels from the Massachusetts Institute of Expertise (MIT) in Electrical Engineering and Laptop Science.
Tom’s broad expertise, contributions to requirements our bodies, and information of the EDA {industry} can be invaluable to the Moores Lab AI staff as they pioneer agentic AI options for silicon engineering challenges.
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“I’m excited to affix the Moores Lab AI Advisory Board at a time when AI is reshaping how silicon is designed and verified,” stated Tom Fitzpatrick. “The corporate’s give attention to agentic AI for EDA workflows guarantees to empower engineers to sort out complexity with unprecedented effectivity, and I stay up for serving to information this innovation ahead.”
Ram Sriharsha — Machine Studying, Massive Information, and AI at Scale
Ram Sriharsha brings deep experience in machine studying, information analytics, vector databases, and large-scale distributed techniques. With a BTech diploma from the Indian Institute of Expertise and a Ph.D. in Physics from the College of Maryland. Over the course of his profession, Ram has held senior ML and AI management roles at a few of the {industry}’s most influential expertise corporations. He served as Chief Expertise Officer at Pinecone, Vice President of Engineering at Splunk, and Head of Product at Databricks. At Databricks, he spearheaded improvement for Apache Spark and for merchandise like Genomics Pipelines for secondary and tertiary processing of genome sequences on prime of Apache Spark.
Ram’s expertise integrating ML techniques into mission-critical purposes and constructing platforms that scale will assist information Moores Lab AI in its mission to make chip design quicker, extra accessible, and extra clever.
“Becoming a member of the Advisory Board at Moores Lab AI is an thrilling alternative to assist bridge scalable machine studying with real-world engineering challenges,” stated Ram Sriharsha. “I’m trying ahead to contributing to options that harness information and AI to rework the semiconductor engineering ecosystem.”
“We’re honored to welcome Tom and Ram to our advisory board,” stated Shelly Henry, CEO of Moores Lab AI. “Their mixed insights, from requirements in verification and EDA to architecting large-scale machine studying techniques, can be invaluable as we evolve our agentic AI options and pursue our imaginative and prescient of accelerating silicon engineering at scale.”
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