The business theory behind going proprietary sounds good. You dump your open-source licenses (for example, Apache 2.0 or AGPL ...

PyTorch is often considered better for smaller-scale research projects while TensorFlow ... top alternative – even competing – open-source data science and machine learning systems, according ...

Eric Schmidt, former CEO and chairman of Google, is co-founder of Schmidt Sciences and chair of the nonpartisan think tank ...

As part of the Office of the Vice President of Research since 2020, our office’s goals are to discover and grow the footprint of RIT’s impact on all things Open, including but not limited to Open ...

Organizations like Common Crawl and LAION (Large-scale Artificial Intelligence Open Network) lead open data initiatives. By providing freely accessible, large-scale datasets, smal ...

A group of scientists has developed an open-source dataset comprising three years’ worth of data from Hong Kong’s largest behind-the-meter rooftop solar power project. Power generation was ...

Software engineers have been hard at work to establish a common language for a global conversation. The topic—revealing the ...

Open source excellence is now being recognised by European policymakers and industry with the inaugural European Open Source ...

data into your projects—whether you're an experienced urban professional or just starting out. What is OpenStreetMap (OSM)? OSM is the world's most ambitious and largest open-source spatial ...

The OpenFoundry platform provides developer infrastructure for open-source AI projects. The technology ... the Hugging Face machine learning and data science platform. OpenFoundry is available ...