Eliminating background artifacts in super-resolution microscopy: A risk-aware adaptive deep learning framework
Peer-Reviewed Publication
Updates every hour. Last Updated: 16-Apr-2026 12:16 ET (16-Apr-2026 16:16 GMT/UTC)
Researchers at Karolinska Institutet and KTH Royal Institute of Technology in Sweden have developed an improved method for creating insulin-producing cells from human stem cells. The results, published in Stem Cell Reports, demonstrate that these cells effectively regulate blood sugar levels in laboratory tests and can reverse diabetes in mice.
Information transmission with structured light continues to advance in performance. In a study published in PhotoniX, researchers from Nanjing University have introduced the LightELF system to tackle a key challenge in structured light detection. The team developed and validated an event‑driven method for dynamic singularity detection and topological signal encoding, providing a new technical pathway to overcome the long‑standing challenge of real‑time processing and information transmission using optical topological knots.
Curious about how 6G will achieve smarter, more efficient communication? A new study in Engineering introduces Wireless Environmental Information Theory, a fresh framework for 6G’s environment intelligence communication. It moves past traditional static channel models, uses sensing and AI for real-time channel prediction, and tests its effectiveness across key 6G tasks, while exploring practical challenges for real-world use.
Indiana University is now offering its acclaimed essential skills course in generative artificial intelligence — GenAI 101 — to everyone worldwide, free of charge.
Faculty and staff at the IU Kelley School of Business developed one of the largest generative AI courses offered by a leading research university. Since it launched in August, more than 114,000 students, staff and faculty have enrolled in GenAI 101. In October, IU expanded access to its more than 805,000 alumni worldwide; thousands have enrolled since then.