Results 71 to 80 of about 193,534 (289)

FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs

Applied Sciences
Recently, convolutional neural networks (CNNs) have received a massive amount of interest due to their ability to achieve high accuracy in various artificial intelligence tasks.
Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp   +3 more
doaj   +1 more source

FPGA implementation of an embedded face detection system based on LEON3 [PDF]

, 2012
This paper presents an FPGA face detection embedded system. In order achieve acceleration in the face detection process a hardware-software codesign technique is proposed. The paper describes the face detection acceleration mechanism.
Acasandrei, Laurentiu, Barriga Barros, Ángel   +1 more
core  

APEnet+: high bandwidth 3D torus direct network for petaflops scale commodity clusters

, 2011
We describe herein the APElink+ board, a PCIe interconnect adapter featuring the latest advances in wire speed and interface technology plus hardware support for a RDMA programming model and experimental acceleration of GPU networking; this design allows
, , A Biagioni, A Lonardo, A Salamon, Ammendola R, Ammendola R, Ammendola R, Ammendola R, Ammendola R, Bodin F, Chalasani Suresh, D Rossetti, F Lo Cicero, F Simula, G Salina, L Tosoratto, NVIDIA Corporation, O Prezza, P S Paolucci, P Vicini, Paolucci P S, Paolucci P S, R Ammendola   +23 more
core   +1 more source

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

Advanced 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, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Low-Cost Real-Time Gesture Recognition [PDF]

, 2002
A major impediment to developing real-time computer vision systems has been the computational power and level of skill required to process video streams in real-time.
Heckenberg, Daniel, Lovell, Brian C.
core  

Parallel 3D Bioprinting on SLIPS‐Microarrays

Advanced Functional Materials, EarlyView.
This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg, Julian A. Serna, Maike Schliephake, Pavel A. Levkin   +3 more
wiley   +1 more source

Development of a Real-Time Software-Defined Radio GPS Receiver Exploiting a LabVIEW-based Instrumentation Environment

, 2018
The ubiquitousness of location based services (LBS) has proven effective for many applications such as commercial, military, and emergency responders. Software-defined radio (SDR) has emerged as an adequate framework for development and testing of global
Akopian, David, Pack, Daniel J., Schmidt, Erick   +2 more
core   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Hardware Acceleration of Sparse Support Vector Machines for Edge Computing

Elektronika ir Elektrotechnika, 2020
In this paper, a hardware accelerator for sparse support vector machines (SVM) is proposed. We believe that the proposed accelerator is the first accelerator of this kind.
Vuk Vranjkovic, Rastislav Struharik
doaj   +1 more source

Hardware Acceleration of Cipher Attack [PDF]

, 2009
Hardwarová akcelerácia výpočtu býva často vhodným nástrojom ako docieliť výrazne lepšieho výkonu pri spracovávaní veľkého množstva dát alebo pri realizácii algoritmu ktorý je možné dobre paralelizovať.
Okuliar, Adam
core