BALTIMORE, MD, March 14, 2026, Dr. Thomas Hartung, Director of the Center for Alternatives to Animal Testing (CAAT) at the Johns Hopkins Bloomberg School of Public Health, has endorsed the public launch of an agentic AI platform developed by Insilica Inc. that produces comprehensive, source-traceable toxicological risk assessments in just a few hours.

A new AI-driven system generates plans for long-term, complex tasks about twice as well as some existing methods. The technique, developed at MIT, uses two vision-language models that work together to simulate actions and produce files for formal planning software.

A 25-year graph algorithm gap for the All Pairs Shortest Paths (APSP) problem has been narrowed by Dr Manoj Gupta, an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Gandhinagar. Previous methods provided distance estimates that were no worse than twice the actual distance (2-approximation) and worked effectively only for distant points. The new method, however, offers a reliable 2-approximation guarantee for the APSP problem while handling considerably closer spots with the same efficiency. This advance helps make large-scale network analysis faster and more practical across many real-world systems.