A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
https://www.techrxiv.org/articles/A_Comprehensive_Tutorial_and_Survey_of_Applications_of_Deep_Learning_for_Cyber_Security/11473377
https://www.techrxiv.org/articles/A_Comprehensive_Tutorial_and_Survey_of_Applications_of_Deep_Learning_for_Cyber_Security/11473377
figshare
A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
This work aims to review the state-of-the-art deep learning architectures in Cyber Security applications by highlighting the contributions and challenges from various recent research papers.
Interview with Fujitsu Cloud Technologies: 80% of Data Science is Pre-processing
https://lionbridge.ai/articles/interview-with-fujitsu-cloud-technologies-80-of-data-science-is-pre-processing/
https://lionbridge.ai/articles/interview-with-fujitsu-cloud-technologies-80-of-data-science-is-pre-processing/
Lionbridge AI
Interview with Fujitsu Cloud Technologies: 80% of Data Science is Pre-processing | Lionbridge AI
We talk to Fujitsu Cloud Technologies for insight into the role of data scientists, the importance of pre-processing, and the state of AI in Japan.
A network of science: 150 years of Nature papers
https://www.youtube.com/watch?v=GW4s58u8PZo&feature=youtu.be
https://www.youtube.com/watch?v=GW4s58u8PZo&feature=youtu.be
YouTube
A network of science: 150 years of Nature papers
Science is a network, each paper linking those that came before with those that followed. In an exclusive analysis, researchers have delved into Nature's part of that network. We explore their results, taking you on a tour of 150 years of interconnected…
Towards Open-Set Semantic Segmentation of Aerial Images. http://arxiv.org/abs/2001.10063
i. Build knowledge of ML, read textbooks, theses & papers,
ii. Read a lot of papers, & assess them critically,
iii. Read PhD theses of researchers whose work interests you,
iv. Reimplement alg's from these source(s),
v. Read & skim papers with a critical eye,
vi. Notice trends
ii. Read a lot of papers, & assess them critically,
iii. Read PhD theses of researchers whose work interests you,
iv. Reimplement alg's from these source(s),
v. Read & skim papers with a critical eye,
vi. Notice trends
Top 10 AI, Machine Learning Research Articles to know
https://www.kdnuggets.com/2020/01/top-10-ai-ml-articles-to-know.html
https://www.kdnuggets.com/2020/01/top-10-ai-ml-articles-to-know.html
KDnuggets
Top 10 AI, Machine Learning Research Articles to know - KDnuggets
We’ve seen many predictions for what new advances are expected in the field of AI and machine learning. Here, we review a “data set” based on what researchers were apparently studying at the turn of the decade to take a fresh glimpse into what might come…
The Case for Bayesian Deep Learning
Andrew Gordon Wilson: https://arxiv.org/abs/2001.10995
#Bayesian #DeepLearning #MachineLearning
Andrew Gordon Wilson: https://arxiv.org/abs/2001.10995
#Bayesian #DeepLearning #MachineLearning
ArtificialIntelligenceArticles
I've launched a project, concerning construction of an ai based nCov coronavirus detector. All data scientists/machine learning developers/ai devs are welcome to contribute, or point to similar projects. https://github.com/JordanMicahBennett/SMART-CORONA…
new update :
1) With the goal of getting as close to real time in detection as possible, I've found out about MinION dna sequencer device, which is said to be able to produce genomes in seconds from dna samples.
2) I'm going to try to purchase one myself, then later try to convince my country to get more once I develop a pipeline.
3) The process for quick inference/real time nCov detection could look like the following:
(a) Dna from person to be screened → (b) Genome data from MinION device → (c) Trained algorithm that has been built to distinguish between nCov -positive genome data, and healthy or rather nCov-negative genome data → (d) prediction-classes: nCov[~1] or no-nCov [~0]
Based on the available data/nCov genome information, this is the quickest solution I can think about implementing now.
The github page has been updated with the MinION details in the PLANNED steps section. MinION processing is expensive and complex with all the library preparation etc. What is needed is a gene sequencing and analysis device which operates with all the simplicity of a blood glucose meter used by diabetics, maybe with a smartphone application. That would be very nice. The same company who makes MinION, seems to be planning to make something for smart phones as well, called smidgion,
I did notice that the MinION costs $1000 usd. I can manage that for now. t looks like China may have been using MinIONs to get that genome sequence out so quickly:
https://nanoporetech.com/.../novel-coronavirus-ncov-2019
1) With the goal of getting as close to real time in detection as possible, I've found out about MinION dna sequencer device, which is said to be able to produce genomes in seconds from dna samples.
2) I'm going to try to purchase one myself, then later try to convince my country to get more once I develop a pipeline.
3) The process for quick inference/real time nCov detection could look like the following:
(a) Dna from person to be screened → (b) Genome data from MinION device → (c) Trained algorithm that has been built to distinguish between nCov -positive genome data, and healthy or rather nCov-negative genome data → (d) prediction-classes: nCov[~1] or no-nCov [~0]
Based on the available data/nCov genome information, this is the quickest solution I can think about implementing now.
The github page has been updated with the MinION details in the PLANNED steps section. MinION processing is expensive and complex with all the library preparation etc. What is needed is a gene sequencing and analysis device which operates with all the simplicity of a blood glucose meter used by diabetics, maybe with a smartphone application. That would be very nice. The same company who makes MinION, seems to be planning to make something for smart phones as well, called smidgion,
I did notice that the MinION costs $1000 usd. I can manage that for now. t looks like China may have been using MinIONs to get that genome sequence out so quickly:
https://nanoporetech.com/.../novel-coronavirus-ncov-2019
Too big to deploy: How GPT-2 is breaking production
https://towardsdatascience.com/too-big-to-deploy-how-gpt-2-is-breaking-production-63ab29f0897c
https://towardsdatascience.com/too-big-to-deploy-how-gpt-2-is-breaking-production-63ab29f0897c
An interpretable neural network model through piecewise linear approximation
Guo et al.: https://arxiv.org/abs/2001.07119
#MachineLearning #ArtificialIntelligence #NeuralNetworks
Guo et al.: https://arxiv.org/abs/2001.07119
#MachineLearning #ArtificialIntelligence #NeuralNetworks