Results 131 to 140 of about 7,229,109 (240)
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Traditional rate–distortion (RD) theory examines the trade-off between the average length of the compressed representation of a source and the additive distortions of its reconstruction.
Xueyan Niu +4 more
doaj +1 more source
Cueing in a perceptual task causes long-lasting interference that generalizes across context to affect only late perceptual learning and is remediated by the passage of time [PDF]
Perceptual learning, the improvement in sensory discriminations with practise, is also subject to stimulus-specific interference from temporal jitter in a learning session or manipulations applied between or immediately after sessions.
Ramesh Rajan
core
Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures
An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko +10 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
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 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
Impact of Video Luminance on Perceptual Quality and Energy Consumption in Video Streaming
7679Video streaming services have become integral to modern digital experiences, yet they present a challenge in balancing perceptual quality with energy efficiency. This paper presents a study on the impact of luminance changes in video streaming on the
Güclü, Görkem +5 more
core +1 more source
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi +6 more
wiley +1 more source

