Results 111 to 120 of about 28,784 (311)
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
Mechanically origami‐coded 3D kirigami photovoltaics convert a single extension–release cycle into deterministic self‐folding, reconfiguring planar solar cells into programmable 3D modules. Distinct coding strategies enable either ultrahigh stretchability (500% system strain) or ultrahigh initial effective areal coverage (225%).
Seok Joon Hwang +15 more
wiley +1 more source
In cloud-based distributed systems, trace anomaly detection plays a vital role in maintaining system reliability by identifying early signs of performance degradation or faults.
Siyuan Liu +4 more
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
A Mirrored-Circuits Approach for Low-Latency and Low-Randomness Composable PINI Gadgets
Masking is a crucial countermeasure against side-channel attacks, yet it is challenging to implement in hardware. At CHES 2024, Kumar S.V. et al. introduced the concept of Time Sharing Masking (TSM) for constructing low-latency first-order PINI gadgets.
Lixuan Wu +5 more
doaj +1 more source
Techniques for design and validation of quantum protocols [PDF]
Our objective in this thesis is to perform formal specification and automated validation of the class of protocols associated with quantum cryptography.
Papanikolaou, Nikolaos K.
core
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles
This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen +19 more
wiley +1 more source
Entropy extractor based high-throughput post-processings for True Random Number Generators
In cryptographic systems, true random number generation is essential, as a compromised TRNG could lead to a security catastrophe. The raw random numbers are discrete values that are derived at discrete points in time from a noise source of a TRNG. These
Yifan Dang +7 more
doaj +1 more source
We report electrochemical quantum capacitance spectroscopy as an ambient, in situ probe for defect‐mediated electronic structure at 2D material interfaces. Using monolayer MoS2, the method resolves band edges and vacancy states, tracks sulfur‐vacancy evolution during hydrogen evolution, and links interfacial density‐of‐states changes to nearly ...
Mengyu Yan +9 more
wiley +1 more source

