Results 61 to 70 of about 46,646 (266)

Hardware Accelerated DNA Sequencing [PDF]

open access: yes2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 2018
Basecalling is a core function in DNA sequencing. It is responsible for the conversion of measured date to a text representation of the DNA’s molecular make-up. Recent advances in sequencing machinery have greatly accelerated the rate at which DNA data can be gathered using miniaturized platforms.
ZhongPan Wu   +4 more
openaire   +1 more source

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

open access: yes, 2015
GROMACS is a widely used package for biomolecular simulation, and over the last two decades it has evolved from small-scale efficiency to advanced heterogeneous acceleration and multi-level parallelism targeting some of the largest supercomputers in the ...
A Arnold   +21 more
core   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel   +6 more
wiley   +1 more source

Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere

open access: yesAdvanced Engineering Materials, EarlyView.
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May   +9 more
wiley   +1 more source

Application-Specific Instruction-Set Processors (ASIPs) for Deep Neural Networks: A Survey

open access: yesIEEE Access
The demand for artificial intelligence applications is rising in every field. And with this demand, machine learning algorithms and techniques are becoming more complicated and compute-intensive.
Muhammad Ali, Diana Gohringer
doaj   +1 more source

Model-Based Approach for Automatic Generation of Hardware Architectures for Robotics

open access: yesIEEE Access, 2021
Increasingly complex robotic platforms incorporate heterogeneous sensors and actuators. They are usually coupled with embedded computers but relying on software solutions not entirely suited for processing large amount of data concurrently and fast ...
Ariel Podlubne   +4 more
doaj   +1 more source

SOM Hardware-Accelerator

open access: yes, 1997
Many applications of Selforganizing Feature Maps (SOMs) need a high performance hardware system in order to be efficient. Because of the regular and modular structure of SOMs , a hardware realization is obvious. Based on the idea of a massively parallel system, several chips have been designed, manufactured and tested by the authors.
Rüping, Stefan   +2 more
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN

open access: yes, 2019
Over the past few years machine learning has seen a renewed explosion of interest, following a number of studies showing the effectiveness of neural networks in a range of tasks which had previously been considered incredibly hard.
Burns, Rod   +3 more
core   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

open access: yesAdvanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig   +11 more
wiley   +1 more source

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