Results 81 to 90 of about 46,646 (266)

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture

open access: yes, 2019
Neural Network (NN) accelerators with emerging ReRAM (resistive random access memory) technologies have been investigated as one of the promising solutions to address the \textit{memory wall} challenge, due to the unique capability of \textit{processing ...
Hu, Xing   +7 more
core   +1 more source

A Programmable Semiconductor Containing Active Molecular Photoswitches Located in the Crystal's Volume Phase

open access: yesAdvanced Functional Materials, EarlyView.
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske   +4 more
wiley   +1 more source

2D hardware acceleration [PDF]

open access: yes, 2018
The objective of the project is to develop an IP-core that provides hardware acceleration for common 2D rendering operations in an embedded system. The requirements for graphical user interfaces (GUI) on modern display and touchscreen based systems are increasing steadily. Rendering complex and attractive GUIs requires a lot of processing power.
Bodenmann, Joel, Corthay, François
openaire  

Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications

open access: yesAdvanced Functional Materials, EarlyView.
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa   +6 more
wiley   +1 more source

MAGTWIST: A Magnetically‐Driven Rotary Actuator Using a Traveling‐Wave With Integrated Stiffness Tunability

open access: yesAdvanced Functional Materials, EarlyView.
MAGTWIST: A compact magnetic rotary actuator, enabling smooth, stepless rotation, and on‐demand locking. Inspired by peristalsis, a soft polymer belt generates a traveling‐wave, enabling 270° rotation when heated. Cooling stiffens the belt, locking it in position and enabling it to withstand high loads.
Simon Frieler   +3 more
wiley   +1 more source

Intrinsic Nanopore‐Assisted SnP2S6 Memristors With Ti Ion Dynamics for Compact Logic‐In‐Memory Hardware

open access: yesAdvanced Functional Materials, EarlyView.
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun   +7 more
wiley   +1 more source

In Situ 3D Bioprinting: Impact of Cross‐Linking on the Adhesive Properties of Hydrogels

open access: yesAdvanced Functional Materials, EarlyView.
In situ 3D bioprinting enables the direct deposition of cell‐laden, adhesive biomaterials for on‐site tissue regeneration. This review provides a comprehensive overview of how cross‐linking influences the bioadhesive properties of hydrogels used in 3D bioprinting, highlighting cross‐linking triggers, bioadhesion mechanisms, polymer interpenetration ...
Odile Romero Fernandez   +4 more
wiley   +1 more source

The New Hardware Development Trend and the Challenges in Data Management and Analysis

open access: yesData Science and Engineering, 2018
Hardware techniques and environments underwent significant transformations in the field of information technology, represented by high-performance processors and hardware accelerators characterized by abundant heterogeneous parallelism, nonvolatile ...
Wei Pan   +3 more
doaj   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

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