Artificial intelligence theory could be the key to how collective cell intelligence works
Peer-Reviewed Publication
Updates every hour. Last Updated: 24-Jan-2026 19:11 ET (25-Jan-2026 00:11 GMT/UTC)
This study used the concept of reinforcement learning to explain the navigation of chemotactic cells toward sparsely distributed targets, showing how decentralized information processing through environmental interaction can lead to highly intelligent behavior. Simulations showed that groups of simple agents could navigate mazes more robustly than a more intelligent single agent. This demonstrates that decentralized teams of simple agents can efficiently process information as a group, with potential applications in medicine, artificial intelligence, and robotics.
University of Tennessee AgResearch hosted a ribbon-cutting ceremony at the West Tennessee AgResearch and Education Center highlighting new on-site facilities, precision agriculture equipment and laboratory renovations funded through the American Rescue Plan (ARP).
A study of elephants, giraffes and other wildlife in Namibia’s Etosha National Park underscores the ways in which the environment, biological sex, and anatomical distinctions can drive variation in the gut microbiomes across plant-eating species. Because the gut microbiome plays a critical role in animal health, the work can be used to inform conservation efforts.
A Harvard team has demonstrated that robots can be designed to react to their environment and perform tasks by programming intelligence into their structure.