The US and China Are Collaborating More Closely on AI Than You Think

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
GitHub

NASA-IMPACT/Prithvi-EO-2.0

Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...
GitHub

stevereiner/python-alfresco-api

A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...
IEEE

The Impact of Influencer Marketing on Consumer Purchasing Decisions in the Digital Age Based on Prophet ARIMA-LSTM Model

Abstract: Many companies still fail to see the value of influencer marketing, star ratings, and customer reviews due to ignorance and a lack of understanding. Researchers are interested in the topic ...
IEEE

Medal Prediction Analysis Based on ARIMA Time Series Model with Random Forests

Abstract: The purpose of this paper is to predict and analyze the number of medals of Olympic countries based on ARIMA time series model and random forest. Firstly, the ARIMA time series model and ...