Machine learning reveals 5-angstrom sweet spot behind metallic glass stability

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

AI shapes the design of the electron-ion collider

Artificial intelligence and machine learning are shaping major design and research decisions for the planned Electron-Ion ...
InfoQ

Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking

Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates ...
Rochester Institute of Technology

Professor earns NSF CAREER Award to defend AI models from attackers

RIT computer science professor Weijie Zhao has earned a National Science Foundation CAREER Award to defend machine learning ...

Machine-learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection

To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...
Drexel University

Machine Learning Shows Promise for Predicting Building Energy Use

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 ...
InfoQ

Using Machine Learning on Microcontrollers: Decreasing Memory and CPU Usage to Save Power and Cost

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Beyond Credit Scores: Considerations When Using Alternative Data In Underwriting

Some private lenders are using real-time and alternative data to help inform a potential borrower's risk profile.​ ...