News

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

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 ...
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Ukraine's Defence Ministry to create database of Russian trophies and Soviet-era blueprints

Ukraine's Ministry of Defence is planning to speed up the exchange of information on Russia's military technologies, in particular by creating a transparent database of trophies and providing access ...
IEEE

Mapping Midaltitude Peatlands Using Sentinel-1/2 Images and Machine Learning in the Mountainous Region of Northeastern China

Abstract: Peatlands, which constitute only 3% of Earth’s land surface, store an estimated 612 Pg of carbon. Due to escalating warming and anthropogenic impacts, numerous peatlands undergo degradation, ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...