Results 181 to 190 of about 618,796 (251)
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
Recent Advances in High‐Entropy Nanozymes: From Fabrication to Applications
To highlight key achievements and clarify the current landscape of high‐entropy nanozymes (HEAzymes), this review summarizes state‐of‐the‐art developments ranging from thermodynamically and kinetically controlled synthetic strategies; enzyme‐like catalytic types, catalytic characteristics, and underlying mechanisms; to their antioxidative, therapeutic,
Yongjian Ai +8 more
wiley +1 more source
Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding
Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chunyu Chen +11 more
wiley +1 more source
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang +9 more
wiley +1 more source
Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications
Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin +6 more
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Subcellular spatial transcriptomics enables high‐resolution mapping of gene expression within tissues, but accurate cell segmentation is essential for assigning transcripts to individual cells. We present SpaCut, a deep learning framework that integrates transcriptomic features with nucleus‐guided morphological information to precisely delineate cell ...
Yongheng Li, Fangfang Zhu, Wenwen Min
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Highly Linear Perovskite Synapses for Neuromorphic Computing
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun +7 more
wiley +1 more source
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Fuzzy Inference and Fuzzy Inference Processor
IEEE Micro, 1993Fuzzy inference, a data processing method based on the fuzzy theory that has found wide use in the control field, is reviewed. Consumer electronics, which accounts for most current applications of this concept, does not require very high speeds. Although software running on a conventional microprocessor can perform these inferences, high-speed control ...
N Sakashita, T Tokuda, Y Nitta
exaly +3 more sources
IEEE Transactions on Fuzzy Systems, 2000
We describe application-specific extensions for fuzzy processing to a general purpose processor. The application-specific instruction set extensions were defined and evaluated using hardware/software codesign techniques. Based on this approach, we have extended the MIPS instruction set architecture with only a few new instructions to significantly ...
exaly +3 more sources
We describe application-specific extensions for fuzzy processing to a general purpose processor. The application-specific instruction set extensions were defined and evaluated using hardware/software codesign techniques. Based on this approach, we have extended the MIPS instruction set architecture with only a few new instructions to significantly ...
exaly +3 more sources
A Fast Digital Fuzzy Processor
IEEE Micro, 1999This digital fuzzy processor-designed and realized in 0.7-/spl mu/m CMOS technology-demonstrates a processing rate from 80 to 320 ns. A parallel pipeline architecture supports fast selection of the active fuzzy rules. Specifically, we designed an Active-Rule-Selector for selecting a subset of the fuzzy rules, called active fuzzy rules, and divided the ...
E Gandolfi
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