An AI program trained to study the handwriting styles of centuries-old manuscripts from the Middle East suggests that many of the Dead Sea Scrolls might be older than previously thought, according to a study published June 4, 2025 in the open-access journal PLOS One by Mladen Popović from the University of Groningen, The Netherlands, and colleagues. This method could give researchers a new way to place undated manuscripts into the timeline of ancient history.

The core portion of NASA’s Nancy Grace Roman Space Telescope has successfully completed vibration testing, ensuring it will withstand the extreme shaking experienced during launch. Passing this key milestone brings Roman one step closer to helping answer essential questions about the role of dark energy and other cosmic mysteries.

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm. A new study out today from York University found proactive, continual and transfer learning strategies for AI models to be key in mitigating data shifts and subsequent harms.

Worcester Polytechnic Institute (WPI) has been awarded $6.3 million for a groundbreaking initiative that could transform additive manufacturing by enabling the rapid production of high-quality components from scrap metal. This innovative approach to additive manufacturing, aims to ensure that essential components can be produced even in the most resource-limited environments, including where access to traditional supply chains is limited. 

What if your brain had a built-in map – not of places, but of possible futures? Researchers at the Champalimaud Foundation (CF) blend neuroscience and artificial intelligence (AI) to reveal that populations of dopamine neurons in the brain don’t just track whether rewards are coming – they encode maps of when those rewards might arrive and how big they might be.

These maps adapt to context and may help explain how we weigh risks, and why some of us act on impulse while others hold back. Strikingly, this biological mechanism mirrors recent advances in AI, and could inspire new ways for machines to predict, evaluate and adapt to uncertain environments more like we do.