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Found 5 papers, 2 papers with code
Foundation Models for Generalist Geospatial Artificial Intelligence
This paper introduces a first-of-a-kind framework for the efficient pre-training and fine-tuning of foundational models on extensive geospatial data.
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
In particular, we are witnessing the rise of AI foundation models that can perform competitively on multiple domain-specific downstream tasks.
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity
The core activity of a Private Equity (PE) firm is to invest into companies in order to provide the investors with profit, usually within 4-7 years.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures
As a result, there has been a steep rise in developing computational methods to predict a user engagement score that is indicative of some form of possible user engagement, i. e., to what level a user would tend to engage with the content.
A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface
Recent advancements in magnetoencephalography (MEG)-based brain-computer interfaces (BCIs) have shown great potential.
