How to use AI to boost your Amazon sales, rankings and reviews

Learn how Amazon sellers can use AI ecommerce optimization to boost visibility, automate tasks, forecast inventory and scale ...
Scientific Research Publishing

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

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Columbia University School of Professional Studies

Teaching and Learning in the Age of AI

At the inaugural Columbia SPS Faculty Summit on AI Teaching and Learning, faculty and industry experts explored AI’s emerging ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Boosting Cell Site Stability: LTE Congestion Prediction with Machine Learning and Deep Learning

Abstract: This paper presents a novel approach to predicting LTE congestion and improving network stability by comparing the performance of machine learning (Random Forest, XGBoost) and deep learning ...
Journal of Medical Internet Research

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

We evaluated machine learning algorithms (random forest [RF], extra-trees classifier, and light gradient boosting machine) and selected the RF model as the final model based on its performance. To ...
kottke.org

This AI Vending Machine Was Tricked Into Giving Away Everything

Anthropic installed an AI-powered vending machine in the WSJ office. The LLM, named Claudius, was responsible for autonomously purchasing inventory from wholesalers, setting prices, tracking inventory ...
IEEE

Boosting Federated Learning with Diffusion Models for Non-IID and Imbalanced Data

Abstract: Federated learning (FL) has emerged as an effective paradigm in machine learning, enabling participants to extract value from diverse data sources while preserving privacy. However, FL faces ...