Results 111 to 120 of about 1,050,120 (328)

2D hardware acceleration [PDF]

, 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  

Large-Scale Optical Neural Networks based on Photoelectric Multiplication

, 2019
Recent success in deep neural networks has generated strong interest in hardware accelerators to improve speed and energy consumption. This paper presents a new type of photonic accelerator based on coherent detection that is scalable to large ($N ...
Bernstein, Liane, Englund, Dirk, Hamerly, Ryan, Sludds, Alexander, Soljačić, Marin   +4 more
core   +1 more source

Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications

Advanced 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, Masaki Tsuji, Yoshihiro Furue, Yifan Geng, Satya P. Pati, Satoshi Hamasuna, Takeaki Yajima   +6 more
wiley   +1 more source

SqueezeJet: High-level Synthesis Accelerator Design for Deep Convolutional Neural Networks

, 2018
Deep convolutional neural networks have dominated the pattern recognition scene by providing much more accurate solutions in computer vision problems such as object recognition and object detection.
Mousouliotis, Panagiotis G., Petrou, Loukas P.   +1 more
core   +1 more source

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

Advanced 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, Jean‐Paul P.M. de Vries, Sarthak Misra, Venkatasubramanian Kalpathy Venkiteswaran   +3 more
wiley   +1 more source

A Low-Resource Hardware Design for Bearing Fault Detection Using Support Vector Machines

IEEE Access
Bearing fault detection is critical for ensuring the reliability of industrial machinery, as mechanical failures can lead to significant downtime and maintenance costs.
Jan Timmer, Ardavan Elahi, Philipp Lehninger, Axel Jantsch   +3 more
doaj   +1 more source

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

Advanced 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, Sanchali Mitra, Hongxi Su, Jiali Huo, Haofei Zheng, Michel Bosman, Yee Sin Ang, Kah‐Wee Ang   +7 more
wiley   +1 more source

Fully Quantized Matrix Arithmetic-Only BERT Model and Its FPGA-Based Accelerator

IEEE Access
In this paper, we propose a fully quantized matrix arithmetic-only BERT (FQ MA-BERT) model to enable efficient natural language processing. Conventionally, the BERT model relies on floating point arithmetic for inference and requires not only linear ...
Hiroshi Fuketa, Toshihiro Katashita, Yohei Hori, Masakazu Hioki   +3 more
doaj   +1 more source

CLAASIC: a Cortex-Inspired Hardware Accelerator

, 2016
This work explores the feasibility of specialized hardware implementing the Cortical Learning Algorithm (CLA) in order to fully exploit its inherent advantages.
Gregorio, José Ángel, Puente, Valentin
core  

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

Advanced 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, Mulazim Hussain Asim, Shumaila Arshad, Gergely Kali, Andreas Bernkop‐Schnürch   +4 more
wiley   +1 more source