An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Abstract: Federated learning (FL) has emerged as a promising paradigm for fine-tuning foundation models using distributed data in a privacy-preserving manner. Under limited computational resources, ...

Abstract: The single or mixed defects in wafer maps reflect critical problems in semiconductor manufacturing processes, thus their accurate recognition plays a pivotal role in root cause analysis of ...

According to @AndrewYNg, DeepLearning.AI has launched a new course titled 'Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training,' taught by @realSharonZhou, VP of AI at AMD (source: ...

According to DeepLearning.AI (@DeepLearningAI), a new course titled 'Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training' has been launched in partnership with AMD and taught by ...

This repository contains the implementation and scripts used for the experiments in the ICCAD'24 paper "MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning Guided Library Tuning".

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new study by Anthropic shows that ...

Introduction: Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the ...

At Barbara Morgan STEM Academy in Meridian, Idaho, project-based learning (PBL) is a schoolwide approach for grades K–5. At every grade level, students participate in projects four times throughout ...