Combining in vitro and in silico approaches to model neural tube patterning and isthmic organizer formation. [PDF]
Bertilsson F +7 more
europepmc +1 more source
On‐Chip Learning With Crossbar Arrays for Adaptive Edge Intelligence
Memristor crossbar arrays implemented on chip combines memory, computation, and learning. They allow for adapting the neural weights using the incoming sensor data. This architecture reduces data movement leading to low‐latency, energy‐efficient intelligence in edge while being reliability‐aware co‐design across devices, circuits, and algorithms that ...
Alex James
wiley +1 more source
On Predicting Optimal Structural Topologies in the Presence of Random Loads. [PDF]
Bochenek B, Tajs-Zielińska K.
europepmc +1 more source
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source
Hierarchical path planning for low-altitude logistics UAVs in complex urban environments: an enhanced weighted A* approach with geometric smoothing. [PDF]
Lei T, Liu S, Lei Y.
europepmc +1 more source
Mesh Multi‐Context Protocol: An Adaptive Agentic AI With Mesh Concept for A Complex Ecosystem
Problems faced by agentic AI when applied in a siloed ecosystem. ABSTRACT The deployment of Agentic AI systems‐autonomous agents powered by large language models (LLMs) ‐ has exposed critical vulnerabilities in multi‐domain enterprise environments, with recent incidents including autonomous production database deletions highlighting fundamental ...
Achmad Ginanjar, Xue Li
wiley +1 more source
Bioinspired 4D-Printing Microwave Absorbers With Adaptive Programmable Switches via Morphable Percolation Networks and Resonant Models. [PDF]
Liao T +7 more
europepmc +1 more source
This study introduces a structurally cascaded physics‐informed graph neural network to model tumor microenvironments accurately. By enforcing a directional dependency from mechanical strain to biochemical secretion, the method eliminates unphysical artifacts and significantly improves predictive accuracy for precision healthcare applications.
Xinyuan Chen +2 more
wiley +1 more source
Real-time 3D cardiac tissue implementation for arrhythmia detection and management. [PDF]
Huang A +5 more
europepmc +1 more source

