Electronic Design Process Symposium

With AI-based applications coming pervasively mainstream through ChatGPT, digital healthcare, and almost everything else we do with our devices daily, digital chip design is seeing an exponential push towards complexity, performance, power, and time-to market. EDA tool flows are becoming mission critical to meet the demands of a hardware-led 4th industrial revolution that is driving everything towards being intelligent, connected, monitored and data-driven. In this talk we go into the details of how hardware design and EDA tools are evolving to deliver the next generation of performance, power, and productivity (PP&P) boost. Even with exponential growth in design productivity in the past decade, overall design cycle is not meeting its intended targets. The technical complexity of advanced node design with new dominant effects like thermal and IR, are leading to highly complex tool/methodology flows. This is where at Synopsys, we have taken a full tool-stack approach to build pervasive AI into our tools to deliver unprecedented PP&P boost. We will share examples of applications ranging from design implementation, verification, test, and analog/manufacturing to showcase the potential of this technology and how it is reshaping chip design workflows. Many of these technologies are taking us closer to the no-human-in-the-loop goal for chip design. With serious talent shortage and increase in solution complexity beyond human expertise, AI-augmented solutions for chip design are the way forward.

Artificial Intelligence and Machine Learning for RF and Microwave Design: practical technologies for present and future applications

The advancement of cutting-edge technologies like Artificial Intelligence (AI), Large Language Models (LLM), and Electric Vehicles (EV) demands sophisticated semiconductor devices with precise specifications. Concurrently, the emergence of digital twins and AI stands as pivotal in facilitating the development and enablement of such technologies. This talk delves into the vision and significance of AppliedTwin(tm), a proposed digital twin framework tailored for semiconductor manufacturing. AppliedTwin delineates various levels of abstractions ranging from digital fabrication facility down to digital twin of individual devices, each characterized by distinct attributes governing their interaction with physical assets, fidelity, etc. Applied Materials has spearheaded the application of digital twins in semiconductor manufacturing with the introduction of EcoTwin(tm), a platform designed to promote sustainability. In this talk the critical role of digital twins in propelling innovation and efficiency in semiconductor equipment manufacturing.

Multiphysics and Integration with Omiverse

The applications of AI in chip design undergo an evolutionary path. Inspired by the success of AlphaGO, Reinforcement Learning techniques were deployed to a number of design problems, achieving results showing the potential of AI. The advancement of Large Language Models further enabled the application of AI in a much broader set of design activities. LLM-based copilots can improve design productivity by providing knowledge and coding assistance; agents can provide further assistance in key design tasks such as analysis, debugging, and optimization. The evolution of AI will continue, and we will discuss critical challenges to realizing its revolutionary potential in the chip design process

Artificial intelligence is in the news daily, and people ask whether they are truly intelligent. Maybe it still lacks the depth of human intelligence today, but where is already cleverer, and what stops it from reaching the ultimate pinnacle of "general intelligence" - could that ever be possible? We will consider the implications of creating truly intelligent machines and the potential consequences for human society.