Results 101 to 110 of about 743,347 (268)

Artificial Intelligence Meets Micro/Nanorobotics

open access: yesAdvanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever   +6 more
wiley   +1 more source

Memristive Motion‐Streak Neuron for Spatiotemporal Multiple Object Detection

open access: yesAdvanced Materials, EarlyView.
This work proposes motion‐streak neuron hardware using amorphous In–Ga–Zn–O optoelectronic memristors and dynamic memristors for spatiotemporal multiple‐object detection. The motion streak neuron array processes optical and electrical stimuli, allowing speed‐dependent filament relaxation to encode motion trajectories.
Hyungjun Park   +9 more
wiley   +1 more source

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

open access: yesAdvanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris   +7 more
wiley   +1 more source

Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

open access: yesEngineering
This study proposes an image-based visual servoing (IBVS) method based on a velocity observer for an unmanned aerial vehicle (UAV) for tracking a dynamic target in Global Positioning System (GPS)-denied environments.
Yanjie Chen   +6 more
doaj   +1 more source

Bioengineered Interfaces for Peripheral Nerve Sensory Restoration

open access: yesAdvanced Materials, EarlyView.
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick   +4 more
wiley   +1 more source

Computation‐Less, Bias‐Free, and Ultra‐Broadband Photodetector for On‐Chip Edge Extraction

open access: yesAdvanced Materials, EarlyView.
A computation‐less, bias‐free, and ultra‐broadband photodetector directly converts local optical‐intensity gradients into signed photocurrents through a position‐dependent bi‐directional photoresponse. This intrinsic physical sensing mechanism enables single‐pixel edge extraction from the near‐infrared to the long‐wave infrared at room temperature ...
Jintao Fu   +8 more
wiley   +1 more source

Multi‐Biomimetic Structural Colors Inspired by Pearls and Bird Feathers

open access: yesAdvanced Materials, EarlyView.
A dual‐biomimetic strategy mimicking pearls and bird feathers is proposed to construct full‐gamut structural colors. By integrating a non‐strictly periodic inorganic multilayer architecture with tunable light absorbers, this facile approach circumvents the complex fabrication of traditional 1D photonic crystals, offering immense potential for cosmetics,
Zhiwei Wang   +12 more
wiley   +1 more source

Inverse Design of Nanoparticulate Materials

open access: yesAdvanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré   +5 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
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

Perception, Visual Inference, and Exploratory Visualization [PDF]

open access: yesIEEE Computer Graphics and Applications, 2022
Torsten Möller, Richard Zhang 0002
openaire   +2 more sources

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