KM news
On September 7, 2026, researchers at MIT CSAIL published a study in Nature Communications introducing "Liquid Knowledge Networks" (LKNs), a transformative architecture for organizational intelligence. This technology addresses the "knowledge latency" bottleneck by enabling AI models to adapt their internal parameters continuously as new data is processed, bypassing the need for traditional retraining or retrieval--augmented generation (RAG) updates. By leveraging "Continuous--Time Neural Dynamics," LKNs ensure that enterprise AI systems remain synchronized with real--time operational changes, significantly enhancing the precision of automated decision--making in volatile market environments.