The ChatGPT rival has combined quality with cost efficiency and upset competitors in the process. Its time to look at win-win ...

Research scientists in Switzerland have developed and tested a robust AI model that automatically segments major anatomic ...

Traditionally, DICOM data migration has been a manual and labor-intensive process. IT teams would painstakingly extract data ...

Hybrid Intelligence is a practical tool to level the playing field for those who risk missing out amid the AI hype, and who ...

Historical data to identify patterns and improve future planning. Example: A small logistics business saved 10 hours per week by using fleet tracking to plan the most efficient routes. Reckless ...

“Data efficiency is also half as effective, meaning we need twice the data and compute for equivalent results. Combined, that’s four times the resources. Our goal is to continuously narrow ...

Abstract: Token compression is essential for reducing the computational and memory requirements of transformer models, enabling their deployment in resource-constrained environments. In this work, we ...

This is on top of existing data that companies are charged only a token fee to access. Whatever happened to user pays? Time for a Price signal to spur efficiency. The self-evidently least ...

I might have enhanced privacy and security features, ensuring that user data is handled with the utmost care and in compliance with relevant regulations. I could come with more comprehensive ...

Mixture-of-Experts (MoE) models utilize a router to allocate tokens to specific expert modules, activating only a subset of parameters, often leading to superior efficiency and performance compared to ...