Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits - Nature Communications#Hardware#Design#Deep Learning#Paper#PDF·nature.com·Feb 22, 2025Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits - Nature Communications
Addendum: A graph placement methodology for fast chip design - Nature#Hardware#Design#DeepMind#Paper#PDF·nature.com·Sep 28, 2024Addendum: A graph placement methodology for fast chip design - Nature
You, X., & Hands, D. (2019). A reflection upon Herbert Simon’s vision of design in the sciences of the artificial. The Design Journal, 22(sup1), 1345-1356.#Design#Science#Research#Paper#PDF#Literature Review·tandfonline.com·Aug 9, 2024You, X., & Hands, D. (2019). A reflection upon Herbert Simon’s vision of design in the sciences of the artificial. The Design Journal, 22(sup1), 1345-1356.
GAVEL: Generating Games Via Evolution and Language ModelsView PDF#Generative AI#Games#Paper#PDF#Large Language Models#Coding#Computer Science#Evolutionary Computation#Design#Automation·arxiv.org·Jul 15, 2024GAVEL: Generating Games Via Evolution and Language Models
Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained)#Large Language Models#Design#Architecture#Paper·youtube.com·Dec 26, 2023Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained)
Efficient automatic design of robots#Robotics#Design#Automation#Evolutionary Algorithms#Paper#PDF·arxiv.org·Oct 4, 2023Efficient automatic design of robots
Pushing the Limits of Machine Design: Automated CPU Design with AI#Design#Automation#Paper#PDF·arxiv.org·Jul 1, 2023Pushing the Limits of Machine Design: Automated CPU Design with AI
Enabling Scalable AI Computational Lithography with Physics-Inspired Models | ResearchEnabling_Scalable_AI_Computational_Lithography_with_Physics-Inspired_Models.pdf#Machine Learning#Physics#Hardware#Design#Automation#Paper#PDF·research.nvidia.com·Jun 6, 2023Enabling Scalable AI Computational Lithography with Physics-Inspired Models | Research
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures#Design#Machine Learning#Automation#Paper#PDF#Neuromorphics·arxiv.org·May 30, 2023AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures
cuDNN: Efficient Primitives for Deep LearningPDF#Deep Learning#Nvidia#Design#Paper#PDF·arxiv.org·May 30, 2023cuDNN: Efficient Primitives for Deep Learning
Chip Placement with Deep Reinforcement Learning#Reinforcement Learning#Design#Automation#Google#Paper#PDF·arxiv.org·May 30, 2023Chip Placement with Deep Reinforcement Learning
DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning#VLSI#Design#Nvidia#Paper#PDF#GAN·d1qx31qr3h6wln.cloudfront.net·Mar 28, 2023DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning
Chat gpt robotics#Robotics#ChatGPT#Microsoft#Design#Paper#PDF#Prompt Engineering#API#Planning·microsoft.com·Feb 26, 2023Chat gpt robotics
Dally, W. J. and others. (2023). 21st century Digital Design Tools.#Hardware#Design#CAD#Nvidia#Paper#PDF·d1qx31qr3h6wln.cloudfront.net·Jan 12, 2023Dally, W. J. and others. (2023). 21st century Digital Design Tools.