- parkerluxu/awesome|Analog|IC|Design|Automation🔍
- Artificial Intelligence Driven RF Integrated Circuit Design ...🔍
- Exploring a Machine Learning Approach to Performance Driven ...🔍
- Introduction🔍
- Functional Testing of On|chip Analog/RF Circuits using Machine ...🔍
- Use of machine learning in radio frequency integrated circuits 🔍
- Applications of Machine Learning in the Design of Trusted and ...🔍
- Machine Learning Driven Global Optimisation Framework for Analog ...🔍
Machine learning techniques in analog/RF integrated circuit design ...
parkerluxu/awesome-Analog-IC-Design-Automation - GitHub
Survey Review: Machine Learning Techniques in Analog/RF Integrated Circuit Design, Synthesis, Layout, and Test [PDF]
... Machine Learning (ML) technology for use in RF ... industrial research communities of AI- and ML-based tools specific to analog and RF IC design.
Exploring a Machine Learning Approach to Performance Driven ...
Recently, machine learning techniques are explored for analog IC designs. In [12], a neural network technique is developed for layout migration without ...
Moreover, as analog IC design follows very heterogeneously and knowledge-intensive approaches, its automation is still an open research field.
Chapter 18: Machine Learning for Analog Layout - Keren Zhu
... Machine learning techniques in analog/RF integrated circuit design, synthesis, layout, and test. Integration 77, 113–130 (2021). 3. Ajayi, T., Cherivirala ...
Functional Testing of On-chip Analog/RF Circuits using Machine ...
Abstract: This study aims to utilize the simulation data col-lected during the design stages of analog and RF Integrated Circuits (ICs), to enable faster ...
Use of machine learning in radio frequency integrated circuits (RFIC ...
Hence, RFIC development typically requires multiple time-consuming and costly design-fabrication iterations. Some researchers have already used machine learning ...
Applications of Machine Learning in the Design of Trusted and ...
Specifically, we will discuss (i) a classification-based test method for testing whether the performances of a fabricated analog/RF IC meet its specifications, ...
Machine Learning Driven Global Optimisation Framework for Analog ...
RF is a popular supervised machine learning model using an ensemble learning technique, and has been reported for the design of analog circuits ...
Applications of Artificial Intelligence on the Modeling and ...
Dündar, “Machine learning techniques in analog/rf integrated circuit design, synthesis, layout, and test,” Integration, 2020. [30] H. Chen et al ...
Natcast Webinar: AI Driven RF Integrated Circuit Design ... - YouTube
... Artificial Intelligence (AI) and Machine Learning (ML) technology for use in RF design. This program's objective is the successful ...
Evolutionary Optimization Techniques in Analog Integrated Circuit ...
Afacan, E., Lourenc¸o, N., Martins, R., and Dundar, G. Review: Machine learning techniques in analog/rf integrated circuit design, synthesis, ...
Modelling Methodologies in Analogue Integrated Circuit Design
Topics covered include response surface modeling; machine learning; data ... modeling of nanoscale transistors and the design of analog/RF integrated circuits.
Learning to Design Analog Circuits to Meet Threshold Specifications
A major obstacle for bearing the power of machine learning in circuit design is the availability of a generic and diverse dataset, along with robust metrics, ...
Rethinking Radio Frequency Integrated Circuits Optimization for the ...
Automatic machine-learning-based optimization of RF integrated circuits will be investigated through digital control of analog RF front-end ...
Applications of AI/ML to Analog and Mixed Signal Circuit Design
For engineering work, optimization algorithms, machine learning techniques and neural networks have been the bread and butter for intelligent, ...
Learning to design analog circuits to meet threshold specifications
Afacan, E., Lourenço, N., Martins, R., and Dündar, G. Machine learning techniques in analog/rf integrated circuit design, synthesis, layout, and ...
ML & AI Applications in Automated Integrated Circuit Design and ...
Circuits and Systems for Machine Learning and Artificial Intelligence applications. Development of ASIC design and architectures for Machine Learning algorithms ...
TAG: Learning Circuit Spatial Embedding from Layouts
E. Afacan, N. Lourenço, R. Martins, and G. Dündar, "Review: Machine learning techniques in analog/rf integrated circuit design, synthesis ...
A Review of Machine Learning Techniques in Analog Integrated ...
Analog integrated circuit design is widely considered a time-consuming task due to the acute dependence of analog performance on the transistors' and ...