Why did machine learning and deep learning start being used? Data volume and model expressive power

Recently, I explained why machine learning exists and it was well-received, so I decided to write about it on note as well.In ...
BIOENGINEER

Machine Learning Framework Advances Urban Heat Island Mapping and Climate Resilience

Researchers propose an artificial intelligence framework combining satellite imagery and machine learning to map urban heat ...
GitHub

Used Car Price Prediction Using Machine Learning Regression

Used car price prediction using Machine Learning regression algorithms and Random Forest. - KunalGupta9321/Used-Car-Price-Prediction ...
BIOENGINEER

AI explanations that stay realistic: PPCEF method now handles regression and mixed tabular data

Researchers extended the PPCEF counterfactual explanation method to regression targets and mixed numerical-and-categorical ...
cloud

Zero-shot predictions in Pandas using the new BigQuery Accessor

Scale machine learning directly in Pandas and boost productivity using enterprise-grade BigQuery AI functions without leaving ...

Explainable AI predicts how plant compounds may cross intestinal barriers

Phytochemicals are bioactive compounds derived from plants, such as flavonoids, alkaloids and ginsenosides. They are key ...
GitHub

README.md

This resource is devoted to studies and research on global sugar price prediction. It functions as a complete resource, ...
Science

Persistent bistability of Nordic Seas overflow waters over 800,000 years

The stability of the Atlantic Meridional Overturning Circulation (AMOC) is a major uncertainty in projections of future ...
European Coatings

AI Framework Optimises Infrared Curing of Powder Coatings

Researchers have combined the Tabular Prior-data Fitted Network (TabPFN) with the NSGA-II genetic algorithm to predict and ...
finance.biggo

Fabian Theis says a simple baseline still beats most "virtual cell" AI—and that's the field's real problem

Fabian Theis, who runs Europe's largest academic health-AI center at Helmholtz Munich, has spent seven years building models that predict how a ...
AZoSensors

Electronic Nose Detects Artificially Ripened Bananas With 97% Accuracy

A system combines an electronic nose with machine learning to analyze volatile organic compounds to distinguish naturally ...
eLife

Dual reinforcement-learning network modules for modeling decision-making with multiple strategies

Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...