"The Evolution from Digital Implementation EDA to ADA"

Mr. Weibin DING (X-Times Design Automation Co., Ltd)

Abstract

With the rapid advancement of semiconductor technology and the increasing complexity of integrated circuit (IC) designs, traditional Electronic Design Automation (EDA) tools are facing unprecedented challenges in terms of efficiency, accuracy, and scalability. XDA company explores the evolutionary trajectory from conventional digital implementation EDA to Al-Driven Automation (ADA), a paradigm shift driven by the integration of artificial intelligence and advanced computational algorithms. The work highlights key innovations in algorithmic optimization, predictive modeling, and data-centric design automation that define the ADA framework. Furthermore, we present customer results demonstrating improved design convergence and optimization efficiency through ADA-enabled methodologies.

"Investerment for AI Accelerator"

Mr. Guoqing HE(Wales University)

Abstract

In the current technology cycle driven by generative AI, value is no longer concentrated solely in the models themselves. It is being redistributed across compute, data, applications, and distribution. This shift is not only reshaping entrepreneurial opportunities but also redefining the role of investors. From an investment perspective, this talk will analyze the structural changes in who creates value and who captures value within the AI ecosystem. It will further propose that venture capital is evolving from a capital provider to a value co builder, a transition we define as VC 3.0.

Drawing on first hand project experience, this talk will explore how early stage ventures can strike a balance between platform dependence and building independent moats. It will also examine how investors, through ecosystem level enablement, can help startups navigate the critical phase from technical validation to commercial scaling, thereby building long term resilience amid uncertainty.

"Opportunities in LLM model inference on the edge, in the era of OpenClaw"

Mr. Jian ZHEN (Beijing AlgoPower Technology Co. Ltd)

Abstract

In 2026, OpenClaw has become a new foundation in AI industry, a huge wave of new innovations and AI applications have been rising because of it. And huge demand increase for large model (LLM) inference has caused AI computing power shortage in this year. Furthermore, LLM model inference on the edge will become wide spread and pervasive due to more and more AI applications are deployed on more diversified scenarios in more different industries, which could create many new opportunities for AI accelerators. In this topic, I will try to give some key discussions on this topic.