Prevention, personalization, and empathy take center stage in these 15 bold predictions for the biggest research-driven breakthroughs of 2026.

We talked with Nick Callegari ’25, Dianna Liu ’18, and Ariana Yuen ’19 about the unique challenges faced by founders trying to make a difference and the moments that make their work worthwhile.

Demis Hassabis, Google Deepmind CEO, just told the AI world that ChatGPT's path needs a world model. OpenAI and Google and ...

Deciphering the building blocks of life has long been a painstaking process, but now a quiet revolution in computing power is changing everything – with research at the University of Otago’s Faculty ...

AI Verse, the leader in synthetic data generation for computer vision applications, announces a €5 million funding round to ...

These 3D prints I started with helped me learn fit, settings, and materials, but they also showed me which projects aren’t ...

Discover how AI, drones, IoT sensors, and digital twins are transforming construction monitoring to reduce delays, cut rework ...

Artificial intelligence has just helped push one of the world’s most familiar metals into unfamiliar territory. By teaming advanced algorithms with 3D printing, researchers have created a new aluminum ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

Reporter Alisa Schafer, a self-proclaimed crafter and hobbyist, took a badging lesson at Manitowoc Public Library to use the ...

Abstract: Employee turnover poses a significant threat to organizations, impacting stability and expense. This paper introduces a machine learning model that forecasts whether an employee will quit ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...