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Semiconductor Engineering2d
Machine Learning Tools Help Bridge Design-To-Manufacturing Gap
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
Nanowerk8d
Machine learning enables smarter, faster, cleaner catalyst design for sustainable energy
Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...
Semiconductor Engineering1y
Applying Machine Learning to EDA, FPGA Design Automation Tools
A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. Abstract: “With the recent advances in hardware ...
technologynetworks1y
Machine Learning Model Automates Wearable Technology Design
To solve these issues, Chen’s team combined robotics, machine-learning algorithms, and material science expertise to enable aerogel design with programmable mechanical and electrical ...