Results 91 to 100 of about 69,459 (285)

Challenging the Computational Metaphor: Implications for How We Think [PDF]

open access: yes, 1999
This paper explores the role of the traditional computational metaphor in our thinking as computer scientists, its influence on epistemological styles, and its implications for our understanding of cognition.
Stein, Lynn Andrea
core  

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

OCTOID: A Soft Robotic System Featuring Programmable Shape Morphing and Dynamic Structural Coloration

open access: yesAdvanced Functional Materials, EarlyView.
Inspired by octopuses, actuating legs based on soft materials are fabricated with programmed chiroptical properties and mechanical behaviors to achieve dynamic color modulation and reversible shape morphing, and these legs are developed into a modular OCTOID system.
Seung Hui Han   +8 more
wiley   +1 more source

Electro‐Active Polymer Actuated Microfiltration Membranes: Design, Performance, and Particle Dynamics

open access: yesAdvanced Functional Materials, EarlyView.
The concept of foulant particle manipulation and detachment from active microfiltration membranes via voltage‐driven vibrations is introduced. Actuator components are initially integrated onto the filtration membranes using an airbrush spray printing technique.
Irem Gurbuz, Hanieh Bazyar, Andres Hunt
wiley   +1 more source

A new paradigm to study social and physical affordances as model-based reinforcement learning

open access: yesCognitive Robotics
Social affordances, although key in human-robot interaction processes, have received little attention in robotics. Hence, it remains unclear whether the prevailing mechanisms to exploit and learn affordances in the absence of human interaction can be ...
Augustin Chartouny   +3 more
doaj   +1 more source

Viscoelasticity‐Induced Controllable Periodic Meso‐Textures of Liquid Crystal Polymers in Additive Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou   +17 more
wiley   +1 more source

Evolution of Neural Networks for Helicopter Control: Why Modularity Matters [PDF]

open access: yes, 2006
The problem of the automatic development of controllers for vehicles for which the exact characteristics are not known is considered in the context of miniature helicopter flocking.
De Nardi, Renzo   +3 more
core   +1 more source

RNA‐Micelles as Self‐Assembling Structures for Efficient Co‐Delivery of Synergistic siRNA and Nucleoside Analogues to Treat CRC Lung Metastasis

open access: yesAdvanced Functional Materials, EarlyView.
Two kinds of self‐assembled RNA micelles were used to co‐deliver synergistic siRNA and nucleoside analogues for the treatment of colorectal cancer lung metastases. Near‐complete elimination of lung cancer metastases was confirmed in an orthotopic lung metastasis model constructed using human colorectal cancer lung metastases patient surgical samples to
Kai Jin   +4 more
wiley   +1 more source

A Modular, Reconfigurable Mold for a Soft Robotic Gripper Design Activity

open access: yesFrontiers in Robotics and AI, 2017
Soft robotics is an emerging field with strong potential to serve as an educational tool due to its advantages such as low costs and shallow learning curves.
Jiawei Zhang   +6 more
doaj   +1 more source

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park   +4 more
wiley   +1 more source

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