Nature

Comparison of machine learning models for mapping Arecanut based agroforestry system in Goa by enhancing precision and efficiency

This study used Sentinel-2 satellite data with 10 different spectral bands (B2, B3, B4, B5, B6, B7, B8A, B8, B11, B12) at a spatial resolution of 20 m. The individual spectral bands were utilized to ...
Nature

Comparison of deep LSTM and machine learning models for predicting compressive strength of fly ash/slag-based geopolymer concrete

AI-based modeling of CO 2 footprint in geopolymer concrete production containing GGBFS as a by-product from the iron industry Table 1 summarizes the literature review on the algorithms developed for ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Morning Overview on MSN

Researchers built an AI that runs climate simulations about 25 times faster by fusing physics with machine learning

Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...
Tech Xplore

How AI chatbots become better learning coaches

Many AI systems answer questions in a matter of seconds—and, in the process, often prevent people from doing exactly what learning is all about: thinking for themselves. Machine learning expert Jakub ...
Hosted on MSN

Teaching machines to see: How AI is transforming computer vision and deep learning research

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes decisions in milliseconds. The field of computer vision and deep learning has ...