Results 261 to 270 of about 7,468,732 (318)
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Gene regulatory network inference in the era of single-cell multi-omics
Nature Reviews Genetics, 2023Pau Badia-i-Mompel +2 more
exaly +2 more sources
Nature Electronics, 2022
A multicore analogue in-memory computing chip that is designed and fabricated in 14 nm complementary metal–oxide–semiconductor technology with backend-integrated phase-change memory can be used for deep neural network inference.
M. Le Gallo +29 more
semanticscholar +1 more source
A multicore analogue in-memory computing chip that is designed and fabricated in 14 nm complementary metal–oxide–semiconductor technology with backend-integrated phase-change memory can be used for deep neural network inference.
M. Le Gallo +29 more
semanticscholar +1 more source
Securely Outsourcing Neural Network Inference to the Cloud With Lightweight Techniques
IEEE Transactions on Dependable and Secure Computing, 2023Neural network (NN) inference services enrich many applications, like image classification, object recognition, facial verification, and more. These NN inference services are increasingly becoming an essential offering from cloud computing providers ...
Xiaoning Liu +3 more
semanticscholar +1 more source
Towards Practical Secure Neural Network Inference: The Journey So Far and the Road Ahead
IACR Cryptology ePrint Archive, 2023Neural networks (NNs) have become one of the most important tools for artificial intelligence. Well-designed and trained NNs can perform inference (e.g., make decisions or predictions) on unseen inputs with high accuracy.
Z. Mann +3 more
semanticscholar +1 more source
Guided Attention Inference Network
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020With only coarse labels, weakly supervised learning typically uses top-down attention maps generated by back-propagating gradients as priors for tasks such as object localization and semantic segmentation. While these attention maps are intuitive and informative explanations of deep neural network, there is no effective mechanism to manipulate the ...
Kunpeng Li +4 more
openaire +2 more sources
EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices
IEEE International Conference on Data Engineering, 2023With the development of the architectures and the growth of AIoT application requirements, data processing on edge has become popular. Neural network inference is widely employed for data analytics on edge devices.
Chenyang Zhang +5 more
semanticscholar +1 more source
Frontiers in Bioscience, 2008
The discovery of regulatory networks is an important aspect in the post genomic research. The process requires integrated efforts of experimental and computational strategies by employing the systems biology approach. This review summarizes some of the major themes in computational inference of regulatory networks based on gene expression and other ...
Huai, Li +3 more
openaire +2 more sources
The discovery of regulatory networks is an important aspect in the post genomic research. The process requires integrated efforts of experimental and computational strategies by employing the systems biology approach. This review summarizes some of the major themes in computational inference of regulatory networks based on gene expression and other ...
Huai, Li +3 more
openaire +2 more sources
Inference in Bayesian networks
Nature Biotechnology, 2006Bayesian networks are increasingly important for integrating biological data and for inferring cellular networks and pathways. What are Bayesian networks and how are they used for inference?
Chris J, Needham +3 more
openaire +2 more sources
Biological Network, Gene Regulatory Network Inference Using Causal Inference Approach
Revue d'Intelligence Artificielle, 2022In system biology inference from gene regulatory network (GRN) is a challenging task. There exist different computational techniques to analyze the causal relationships between the pair of genes and to understand the significance of causal relationship in gene regulatory network.
Saroj Shambharkar +4 more
openaire +1 more source