Wafer-scalable artificial synapses and logic gate circuits based on coplanar self-aligned-gate organic transistors for artificial vision applications. [PDF]
Yuan Q +13 more
europepmc +1 more source
Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source
Clinical value of dual low-dose computed tomography angiography incorporating artificial intelligence iterative reconstruction for assessing arteriovenous fistulas/grafts among hemodialysis patients. [PDF]
Zhang W +6 more
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
A Collaborative Framework Based on an Improved Adaptive Cubature Kalman Filter for Multi-Anomaly Mitigation in Bridge Temperature Monitoring Data. [PDF]
Tan B +7 more
europepmc +1 more source
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino +7 more
wiley +1 more source
Application of Artificial Intelligence and Machine Learning in Arrhythmia Detection and Pacemaker Data Analysis. [PDF]
Shen LH, Xu KQ, Xia PF, Chen J.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Exploring the spiking neural autoencoder: from hyperexcitability to noise-driven compensation. [PDF]
Khodashenas M, Martins DP.
europepmc +1 more source
Machine Learning and Deep Learning for Earthquake Monitoring: A Systematic Review of Distributed Acoustic Sensing Applications. [PDF]
Iqbal N +4 more
europepmc +1 more source

