Si2 Publishes White Paper on Expanding Use of AI/ML in Semiconductor Electronic Design
Summary
AUSTIN, Texas--(BUSINESS WIRE)--A new Silicon Integration Initiative white paper identifies a common data model as the most critical need to accelerate the use of artificial intelligence and machine learning in semiconductor electronic design automation. The white paper, produced by a 20-member Si2 Special Interest Group, reports on findings of a global survey that identifies planned usage and structural gaps for AI and ML in EDA. Leigh Anne Clevenger, Si2 senior data scientist, said that the white paper identifies “a standard, common model for classifying and structuring machine learning and inference data as being crucial to accelerating the use of AI/ML in EDA. • Definition and Characteristics of Derived Data for ML Applications The white paper is available at https://si2.org/product/collaborative-data-model/ Founded in 1988, Si2 is a leading research and development joint venture that provides standard interoperability solutions for integrated circuit design tools. All Si2 activities are carried out under the auspices of The National Cooperative Research and Production Act of 1993, the fundamental law that defines R&D joint ventures and offers them a large measure of protection against federal antitrust laws.