Results 51 to 60 of about 120,057 (216)
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick +12 more
wiley +1 more source
Hearing loss and serotonergic dysfunction both impact social and cognitive behaviors, yet their neurobiological interplay remains poorly understood. This study investigated whether perinatal fluoxetine exposure alters myelination in (auditory) brain ...
Joëlle D. Jagersma +4 more
doaj +1 more source
Transparent microelectrode arrays enable simultaneous optical and electrical electrophysiology with high spatiotemporal resolution, allowing multimodal observations of dynamic biological systems. Advances in materials and device architectures improve device performance by addressing key trade‐offs between optical transparency, impedance, and ...
Michael Abraham Listyawan +6 more
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Dynamics of Multi-Sensory Tracking
These experiments examined the ability to track a moving target with our heads under various stimulus conditions and modalities. While previous studies [1,2] have concentrated on eye tracking within the frontal region; we extended the modes of tracking ...
Johahn Leung, Vincent Wei, Simon Carlile
doaj +1 more source
Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 more
wiley +1 more source
Hemangioma of The External Auditory Canal: A Case Report
Hemangioma is a subtype of benign vascular tumors. Although they are commonly found in head and neck region, they are rare in the external auditory canal.
Roqaih Aldueb MBBS +2 more
doaj +1 more source
Differences in Stress-Induced Modulation of the Auditory System Between Wistar and Lewis Rats
Many aspects of stress-induced physiological and psychological effects have been characterized in people and animals. However, stress effects on the auditory system are less explored and their mechanisms are not well-understood, in spite of its relevance
Agnieszka J. Szczepek +5 more
doaj +1 more source

