Deep learning for cellular image analysis
Recent advances in computer vision and machine learning underpin a collection of
algorithms with an impressive ability to decipher the content of images. These deep learning …
algorithms with an impressive ability to decipher the content of images. These deep learning …
The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
Artificial intelligence: a survey on evolution, models, applications and future trends
Y Lu - Journal of Management Analytics, 2019 - Taylor & Francis
Artificial intelligence (AI) is one of the core drivers of industrial development and a critical
factor in promoting the integration of emerging technologies, such as graphic processing …
factor in promoting the integration of emerging technologies, such as graphic processing …
Deep k-nearest neighbors: Towards confident, interpretable and robust deep learning
Deep neural networks (DNNs) enable innovative applications of machine learning like
image recognition, machine translation, or malware detection. However, deep learning is …
image recognition, machine translation, or malware detection. However, deep learning is …
Spike sorting for large, dense electrode arrays
Developments in microfabrication technology have enabled the production of neural
electrode arrays with hundreds of closely spaced recording sites, and electrodes with …
electrode arrays with hundreds of closely spaced recording sites, and electrodes with …
Two hundred years of zooplankton vertical migration research
Vertical migration is a geographically and taxonomically widespread behaviour among
zooplankton that spans across diel and seasonal timescales. The shorter‐term diel vertical …
zooplankton that spans across diel and seasonal timescales. The shorter‐term diel vertical …
A survey on platforms for big data analytics
D Singh, CK Reddy - Journal of big data, 2015 - Springer
The primary purpose of this paper is to provide an in-depth analysis of different platforms
available for performing big data analytics. This paper surveys different hardware platforms …
available for performing big data analytics. This paper surveys different hardware platforms …
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
Background In recent years, research in artificial neural networks has resurged, now under
the deep-learning umbrella, and grown extremely popular. Recently reported success of DL …
the deep-learning umbrella, and grown extremely popular. Recently reported success of DL …
[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
transformations, profoundly impacting society with transformational developments, such as …
Energy aware edge computing: A survey
Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …
demands from end devices to smart things. Edge computing allows the computation to be …