Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Machine Learning (ML) and Artificial Intelligence (AI) have become essential technologies across industries, automating tasks at a speed and scale far beyond human capabilities. However, building ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

Olushina Olawale Awe receives funding from FAPESP Brazil. He is affiliated with Statistics Learning Laboratory, UFBA as a research team leader. Emmanuel Oluwaseyi Atofarati does not work for, consult, ...

Arti Raman is the founder and CEO of Portal26. She is an expert on managing and mitigating risk for enterprise GenAI and data. The distinction between generative AI (GenAI) model building and GenAI ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

A newly developed machine learning model makes reliable strength predictions in carbon fiber-reinforced steel columns, according to a news release by Seoul National University of Science & Technology.

One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...