A live presentation of re-created costumes of Nubian kings, royal mothers, and bishop based on wall paintings from the cathedral of Faras will take place on December 9 at the School of Oriental and African Studies, University of London.

JMIR Publications continues to provide forward-looking insights in its "News & Perspectives" section with a new article exploring the evolution and potential of smart implants in health care.

In a compelling new video interview from Applied Microbiology International’s ‘Under the Lens’ series, Dr. Callum Cooper, a researcher in bacterial phage formulation and Deputy Editor of Letters in Applied Microbiology, an AMI publication, shared fascinating insights into one of medicine’s most promising frontiers: phage therapy.

The research project RePAIR (Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage), funded by the European Union, is coming to an end and is presenting its main results: the creation of a robotic infrastructure – built by Italian Institute of Technology -  guided by artificial intelligence and the use of algorithms to reassemble fragmented Pompeian frescoes like a “puzzle”. The entire prototype was validated through initial experimental tests conducted on-site at the Archaeological Park of Pompeii, demonstrating that robotics and artificial intelligence may, in the future, facilitate the work of archaeologists.

Big Earth Data Journal is calling for papers for a Special Issue on Addressing incomplete reference data for leveraging Artificial Intelligence in Earth Observation applications. This special issue focuses on advancing methodologies for Earth Observation application reference data challenges. It gathers pioneering research, theoretical insights and innovative case studies to boost reference data enhancement, aiming to improve the precision and trustworthiness of AI-driven insights and guide academics, industry professionals and policymakers.This special issue focuses on advancing methodologies for Earth Observation application reference data challenges. It gathers pioneering research, theoretical insights and innovative case studies to boost reference data enhancement, aiming to improve the precision and trustworthiness of AI-driven insights and guide academics, industry professionals and policymakers. Welcome to submit!

The University of Texas at Arlington continues to create unique educational experiences that prepare students for real-world scenarios requiring quick thinking and decisive action. A simulated tornado disaster is the latest example, with students from multiple disciplines recently participating in a hands-on exercise in navigating such an emergency when it strikes.

A Binghamton University, State University of New York junior majoring in mechanical engineering has created a playable 3D-printed acoustic guitar.

Clarivate's annual list of highly cited researchers hit a new record for excluded scientists in 2025. Christophe Béné, a scientist who has been on the list for four consecutive years, discusses some of the challenges facing the incessantly expanding science publishing industry that underpin many of the issues related to citation integrity.

Researchers at Okayama University of Science have launched a new AI-based system that can forecast the appearance of “seas of clouds” up to one week in advance. Developed by Professor Yuta Ohashi’s laboratory, the system analyzes meteorological data—such as wind speed, temperature, humidity, and precipitation—from the Japan Meteorological Agency to estimate the likelihood of cloud-sea formation. Previously, forecasts were limited to the following day; the expanded AI model now enables weekly predictions for locations including Bitchu Matsuyama Castle in Okayama and the Miyoshi Basin in Hiroshima. The website also provides forecasts of radiation fog and local wind phenomena such as the “Hijikawa River Fog” in Ehime Prefecture. The longer-range forecast is expected to support tourism planning, travel agencies, and local governments by improving scheduling around this popular natural spectacle.