Results 191 to 200 of about 113,022 (221)

Uncontrolled Learning: Codesign of Neuromorphic Hardware Topology for Neuromorphic Algorithms

open access: yesAdvanced Intelligent Systems, EarlyView.
Codesign is used to implement a neuroscience‐inspired machine learning algorithm in all neuromorphic hardware. In this implementation, the hidden memristors cannot be directly accessed, limiting control of the network during training. By leveraging theoretical tools, including memristor circuits dynamics and a closed form expression for the network ...
Frank Barrows   +3 more
wiley   +1 more source

Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu   +4 more
wiley   +1 more source

Electromagnetically Adhering and Self‐Inductive Sensing Claw for Continuum Climbing Robots: Design, Control, and Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
To argue the applicability of continuum wall‐climbing robots in the nuclear industry, an electromagnetic adhering and self‐inductive sensing integrated claw is developed. The flexible claw realizes an integrated design of the physical structure and excitation circuit. An automatic contact strategy based on fuzzy controller is established, which enables
Pengpeng Yang   +3 more
wiley   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

open access: yesAdvanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang   +5 more
wiley   +1 more source

Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis

open access: yesAdvanced Intelligent Systems, EarlyView.
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley   +1 more source

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