The research team led by Liying Qu and Weisong Zhao from Harbin Institute of Technology, in collaboration with Peking University, has developed Adaptive-SN2N, an innovative self-supervised learning framework. By introducing a risk-aware adaptive normalization strategy, this method successfully eliminates background artifacts commonly induced by deep learning, preserving high biological fidelity and enabling highly accurate live-cell quantitative analysis.

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.

Climate change has been driving the rise of extreme weather conditions in recent years, placing immense strain on urban infrastructure such as sewer systems. Compromised sewer systems can lead to leakage, overflow and even flash flooding, threatening public health and safety. To address these vulnerabilities, a research team at The Hong Kong Polytechnic University (PolyU) has developed a multi-tiered model integrating artificial intelligence (AI) and the Internet of Things (IoT), facilitating more cost-effective and intelligent sewer system management, ranging from predicting exfiltration severity and pinpointing leakage-prone zones to monitoring and forecasting overflow occurrences in high-risk areas. 

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.