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Silicon Valley bets big on ‘environments’ to train AI agents

A wave of startups are creating RL environments to help AI labs train agents. It might be Silicon Valley’s next craze in the ...

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
IEEE

Reading When Translating: Multi-Modal Document Image Machine Translation With Reading Flow Prediction

Abstract: Document Image Translation (DIT) aims to translate documents in images from one language to another. It is a multi-modal task that involves the cooperation of text, visual layout, and ...
IEEE

PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence

Abstract: We introduce a physics-informed machine learning (PIML) algorithm based on a feed-forward neural network (FFNN) to estimate surface soil moisture from limited in situ measurements and ...