Feature Stories
Updates every hour. Last Updated: 4-Apr-2026 18:16 ET (4-Apr-2026 22:16 GMT/UTC)
AI, texts, and the future of knowledge work
Johannes Gutenberg Universitaet MainzFrom text generation in academic settings to the ethical challenges of using artificial intelligence in the publishing industry: Professor Christoph Bläsi takes a comprehensive look at AI in book studies – and far beyond. Since 2019, he has been one of three spokespersons for the KI@JGU network.
Bird sonic installed at Izumo Airport
Okayama University of ScienceAIT researchers turn chess moves into 30% more solar power
Asian Institute of TechnologyStudies from the Asian Institute of Technology show how smart design can slash emissions, cut energy costs, and boost renewable power.
ALL ALS Consortium enrolls 1,000th participant
Dignity Health ArizonaGeorgetown scientists identify sustainable alternatives for next-generation magnetic technologies
Georgetown University Medical Center
A team led by Physics professors Kai Liu and Gen Yin and graduate student Willie Beeson (G’25) has discovered a new class of strong magnets that do not rely on rare-earth or precious metals — a breakthrough that could significantly advance clean energy technologies and consumer electronics.
- Journal
- Advanced Materials
Turning waste into solutions: AIT maps Southeast Asia’s pollution challenge
Asian Institute of TechnologyMaking progress against metastasis
Memorial Sloan Kettering Cancer CenterResearch Article | A transformer-based multi-feature fusion method for detecting traffic events using Twitter data
Big Earth DataA new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can significantly improve traffic event detection. By combining semantic, spatial, and temporal features of tweets in a transformer-based multi-feature fusion framework, researchers were able to classify traffic incidents more accurately and identify patterns in real-time. The approach achieved up to 7.93% improvement in accuracy for distinguishing traffic incidents from non-traffic content and 6.09% improvement across three traffic-related categories. These findings highlight the potential of social media as a timely, low-cost source of traffic information for faster response and improved transportation management.
- Journal
- Big Earth Data