Moderator
Richard Curtin
Managing Partner
Silicon Catalyst
Semiconductor development faces increasing complexity, faster timelines, and fierce competition, exposing the limitations of traditional EDA tools. In response, AI Agents, powered by LLMs and advanced algorithms, are emerging as next-gen solutions. This session explores how these agents surpass conventional automation by independently managing tasks like hardware modeling, constraint solving, debugging, testbench creation, and design optimization. We'll cover real-world use cases showing how AI Agents deliver improved productivity, design quality, and time-to-market, including their ability to autonomously detect bugs and optimize RTL designs.
Mehir Arora
Founding Engineer
ChipAgents
Mehir Arora is a founding engineer at ChipAgents, a company at the forefront of integrating agentic AI into Electronic Design Automation (EDA) workflows. Graduated from UC Santa Barbara, Mehir has contributed to advancing state-of-the-arts in AI methodologies, including a paper presented at ICML 2024. At ChipAgents, he focuses on developing agentic AI tools that enhance chip design and verification processes, aiming to significantly improve efficiency and productivity in semiconductor engineering.
Arm
Website: https://www.arm.com/markets/artificial-intelligence
Arm is the industry’s highest-performing and most power-efficient compute platform with unmatched scale that touches 100 percent of the connected global population. To meet the insatiable demand for compute, Arm is delivering advanced solutions that allow the world’s leading technology companies to unleash the unprecedented experiences and capabilities of AI. Together with the world’s largest computing ecosystem and 20 million software developers, we are building the future of AI on Arm.
Axelera
Website: https://www.axelera.ai/
Axelera AI is delivering the world’s most powerful and advanced solutions for AI at the Edge. Its industry-defining Metis™ AI platform – a complete hardware and software solution for AI inference at the edge – makes computer vision applications more accessible, powerful and user friendly than ever before. Based in the AI Innovation Center of the High Tech Campus in Eindhoven, The Netherlands, Axelera AI has R&D offices in Belgium, Switzerland, Italy and the UK, with over 170 employees in 18 countries. Its team of experts in AI software and hardware come from top AI firms and Fortune 500 companies.
For more information on Axelera AI, see: www.axelera.ai
Moshe Tanach
Co-Founder & CEO
NeuReality
Moshe Tanach is Founder and CEO at NeuReality.
Before founding NeuReality, he served as Director of Engineering at Marvell and Intel, leading complex wireless and networking products to mass production.
He also served as Appointed Vice President of R&D at DesignArt-Networks (later acquired by Qualcomm) developing 4G base station products.
He holds Bachelor of Science in Electrical Engineering (BSEE) from the Technion, Israel, Cum Laude.
NeuReality
Website: https://www.neureality.ai/
Founded in 2019, NeuReality Ltd. is an AI technology innovation company creating purpose-built AI-platforms for ultra-scalability of real-life AI applications. As artificial intelligence becomes part of the fabric of daily life, deploying AI at scale is one of the biggest technical challenges of the computing industry. NeuReality is the first complete, system-level solution specifically designed to address the challenges of optimizing, deploying, managing, and scaling AI workloads. NeuReality’s revolutionary AI-centric solution – built around the NR1 Network Attached Processing Unit (NAPU) and inference serving building blocks in software – is designed specifically for AI workloads, enabling the scale of real-life AI Applications.
With the NR1 NAPU, our solution reduces the dependencies on CPUs, NICs and PCI-switches, moving simple but critical data-path functions from software to hardware.
With the automatic software tools and SDK we provide toolchain, runtime, orchestration, MLOPs integration and simple UX for data scientists and DevOps to remove barriers in deploying AI
The result is an innovative AI-optimized system that reduces energy consumption, shrinks the data center footprint, and lowers TCO by cutting capital costs.
it’s built from ground up to enable ultra-scalability.
Download the latest case study here: https://www.neureality.ai/casestudies/ai-linear-scalability/
