Yanguas-Gil, Angel

1. Benchmarking large language models for materials synthesis: the case of atomic layer deposition
   2024/12/13 by Yanguas-Gil, Angel, Dearing, Matthew T., Elam, Jeffrey W. +5 · 1 voice · 4 citations
   Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #cond-mat.mtrl-sci #cs.AI #cs.LG
2. Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
   2023/08/08 by Sandeep Madireddy, Madireddy, Sandeep, Ángel Yanguas-Gil +3 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
3. AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures
   2023/02/26 by Yanguas-Gil, Angel, Madireddy, Sandeep · 1 citation
   #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
4. Modeling scale-up of particle coating by atomic layer deposition
   2024/08/23 by Angel Yanguas-Gil, Ángel Yanguas-Gil, Jeffrey W. Elam +2 · 1 voice · 1 citation
   Engineering · Materials Science · #Copper Interconnects and Reliability #Semiconductor materials and devices #Surface Roughness and Optical Measurements #cond-mat.mtrl-sci #physics.app-ph #physics.chem-ph
5. Design Principles for Lifelong Learning AI Accelerators
   2023/10/05 by Kudithipudi, Dhireesha, Daram, Anurag, Zyarah, Abdullah M. +9 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering