Inside Ford’s AI-Driven Approach to Scaling Dealer Analysis

FordDirect used AI agents in Domo to automate dealer analysis, cut turnaround time, and deliver insights that helped win back ...
IEEE

Prediction of Land Use and Land Cover Using Google Earth Engine (GEE) and Machine Learning Algorithms: A Review

Abstract: Reliability is a critical requirement for classifiers that generate maps of land use and land cover (LULC), and these classifiers are highly sought after. Particularly, machine learning ...
GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
Fox Business

Ford builds one-of-a-kind Explorer for Pope Leo XIV

Ford CEO Jim Farley and his wife, Lia, recently gifted Pope Leo XIV a new Explorer SUV. The couple personally delivered the vehicle during a private audience with the American-born pontiff on Feb. 28.
IEEE

AI Knows Aesthetics: AI-Generated Interior Design Identification Using Deep Learning Algorithms

The integration of Artificial Intelligence (AI) in interior design has revolutionized how spaces are conceptualized, visualized, and classified. As digital tools and generative design models become ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...