Results 231 to 240 of about 2,419,433 (298)

Combining in vitro and in silico approaches to model neural tube patterning and isthmic organizer formation. [PDF]

open access: yesNPJ Syst Biol Appl
Bertilsson F   +7 more
europepmc   +1 more source

On‐Chip Learning With Crossbar Arrays for Adaptive Edge Intelligence

open access: yesAdvanced Computing, Volume 1, Issue 1, December 2026.
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

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

open access: yesAIChE Journal, Volume 72, Issue 10, October 2026.
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

Mesh Multi‐Context Protocol: An Adaptive Agentic AI With Mesh Concept for A Complex Ecosystem

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
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

Structurally Cascaded Physics‐Informed Graph Neural Networks for Mechanotransduction‐Aware Tumor Microenvironment Modeling

open access: yesApplied Research, Volume 5, Issue 5, October 2026.
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]

open access: yesFront Bioeng Biotechnol
Huang A   +5 more
europepmc   +1 more source

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