When you stream a movie, back up a photo or ask ChatGPT a question, somewhere a data center is working hard — and getting hot. Cooling those facilities already consumes a huge share of their electricity, and nearly half of that energy leaves as low-temperature waste heat that’s simply vented into the air. A new study from Rice University shows how to turn that waste into power.

A research team has developed a new artificial intelligence (AI) model that harnesses unmanned aerial vehicle (UAV) data to predict wheat yields with exceptional accuracy.

The launch is a significant milestone in INSEAD’s innovation journey. It showcases the school’s ability to translate academic insight into real-world impact, taking an internally generated concept and successfully commercialising it through collaboration with a leading global partner.

A research team has developed Spotibot, a deep learning–powered application available on both web and mobile platforms, designed to automatically detect and measure Botrytis lesions on rose petals.

Implantable microelectrodes that can safely capture brain activity are critical in neuroscience technologies. In a recent study, researchers from South Korea have developed a new class of polymer-carbon nanotube (CNT) based hybrid microelectrode arrays, which combine high electrical conductivity with mechanical softness. These advanced electrodes enable stable recording of brain signals while limiting inflammation and damage to brain tissue—paving the way for safer and smarter brain-computer interfaces.