New tool helps responders ID highest-risk areas for post-hurricane rescue efforts
Peer-Reviewed Publication
Updates every hour. Last Updated: 28-Oct-2026 23:16 ET (29-Oct-2026 03:16 GMT/UTC)
Researchers have developed a mathematical model to predict which neighborhoods should be prioritized for search and rescue operations in the wake of a hurricane, with the goal of expediting recovery operations by the Coast Guard or other responders.
As artificial intelligence moves beyond controlled settings and into dynamic, uncertain and socially complex environments, new questions arise about how these systems understand their surroundings, act autonomously, and interact with people. Rather than concentrating intelligence in a single complex system, the four-year EIC Pathfinder project EMERGE took a different approach. It considered the simplest possible artificial agents, such as small robots in a swarm, components of a robotic body, or connected devices. Individually, each unit may possess limited intelligence and information. Together, however, from their interactions, sharing information and coordinating their behaviour, they can establish a representation of shared existence, environment and goals, which the project calls collaborative awareness.
Simvastatin is a widely used cholesterol-lowering medication, but it has a well-known limitation: it barely dissolves in water, and the small amount that does dissolve is further broken down heavily by the liver and intestines before it can act, leaving only about 5% of an oral dose actually available to the body. A new study, published in Current Topics in Chemistry, tackles this problem by physically shrinking the drug's particles down to a fraction of a micron in size using ultrasound.
Graph neural networks have been used in various graph-related tasks, where they have achieved excellent performance. However, incomplete graph structures, commonly found in real-life scenarios, can severely degrade performance. In a new study, researchers develop a novel graph completion network that reconstructs missing features and structure simultaneously while also maintaining performance with extremely weak supervision, which is difficult to achieve with conventional models.
Researchers have demonstrated a scalable 3.2 Tb/s O-band silicon photonic interconnect architecture designed to address the growing bandwidth demands of artificial intelligence (AI) computing. Published in PhotoniX Synergy, the work combines hybrid wavelength-port multiplexing with adaptive wavelength stabilization to enable high-bandwidth and robust optical I/O, providing a scalable pathway toward terabit-scale silicon photonic interconnects for next-generation AI computing systems.
MIT researchers developed a noninvasive way to identify senescent cells, which have stopped dividing, within aging tissue. The advance could help diagnose age-related disorders and guide researchers working on new treatments.
Scientists from Nanyang Technological University, Singapore (NTU Singapore) have demonstrated in a lab-scale study a fermentation method that could transform okara, a nutrient-rich soybean by-product from tofu and soymilk production, into a more flavourful and protein-rich food ingredient.
Catalytic Applications of Carbon Nitride-Based Nanomaterials presents a focused overview of the synthesis, properties and catalytic applications of graphitic carbon nitride (g-C₃N₄)-based nanomaterials in modern chemistry. With their structural versatility, chemical stability and tunable electronic properties, carbon nitride-based materials have attracted growing interest as catalysts for organic synthesis, photocatalysis, electrocatalysis and environmental applications.