Results 141 to 150 of about 9,844 (253)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

Self‐Amplified Activatable Fluorescent Probe for Early Diagnosis of Acute Kidney Injury and High‐Throughput Screening of Natural Protectants

open access: yesAdvanced Science, EarlyView.
The PS‐QRC nanoprobe employs L‐serine as a targeting ligand for kidney injury molecule‐1 (KIM‐1) to achieve accumulation in injured renal tissues. Upon activation by reactive oxygen species (ROS), it undergoes a self‐amplifying cascade to release fluorophores for near‐infrared fluorescence (NIRF) imaging, enabling ultra‐early diagnosis of acute kidney ...
Yahui Chen   +10 more
wiley   +1 more source

Explainable Agentic Artificial Intelligence in Healthcare: A Scoping Review. [PDF]

open access: yesBioengineering (Basel)
Collaco BG   +9 more
europepmc   +1 more source

A Modeling Method for Performance Evaluation of Embedded Software by Eliminating Execution Traces

open access: yesComputer Software, 2011
ONO, Kouichi   +8 more
openaire   +1 more source

Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses

open access: yesAdvanced Electronic Materials, EarlyView.
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol   +7 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Fully Recyclable Printed Magnetoresistive Sensors Covering Broad Operational Ranges for Sustainable Interactive Electronics

open access: yesAdvanced Electronic Materials, EarlyView.
This work presents a sustainable printing and recycling strategy for magnetic sensors designed for IoT applications. By combining solvent‐orthogonal binders with tailored magnetic fillers, the sensors achieve tunable sensitivity across low to high magnetic field ranges.
Rui Xu   +6 more
wiley   +1 more source

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