“It’s very much like the human body’s own immune system … [W]hen it finds something that doesn’t belong—that’s not self—it has an extremely precise and rapid response.”
https://www.technologyreview.com/s/612427/the-rare-form-of-machine-learning-that-can-spot-hackers-who-have-already-broken-in/
https://www.technologyreview.com/s/612427/the-rare-form-of-machine-learning-that-can-spot-hackers-who-have-already-broken-in/
MIT Technology Review
The rare form of machine learning that can spot hackers who have already broken in
In 2013, a group of British intelligence agents noticed something odd. While most efforts to secure digital infrastructure were fixated on blocking bad guys from getting in, few focused on the reverse: stopping them from leaking information out. Based on…
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
https://www.youtube.com/watch?v=IqkOZhfGEYs
https://www.youtube.com/watch?v=IqkOZhfGEYs
TOP AI & ML RESEARCH TRENDS FOR 2020
https://www.topbots.com/top-ai-ml-research-trends-2020/
https://www.topbots.com/top-ai-ml-research-trends-2020/
TOPBOTS
Top AI & ML Research Trends For 2020
The AI industry is moving so quickly that it’s often hard to follow the latest research breakthroughs and achievements. To help you stay well prepared for 2020, we have summarized the latest trends across different research areas, including natural language…
Who needs machine learning? Pigeons can be trained to classify medical images and diagnose heart disease https://pubmed.ncbi.nlm.nih.gov/31965462-taking-pigeons-to-heart-birds-proficiently-diagnose-human-cardiac-disease/
On generalized residue network for deep learning of unknown dynamical systems. http://arxiv.org/abs/2002.02528
Neural signature identifies people likely to respond to antidepressant medication
Researchers have discovered a neural signature that predicts whether individuals with depression are likely to benefit from sertraline, a commonly prescribed antidepressant medication. The findings, published in Nature Biotechnology, suggest that new machine learning techniques can identify complex patterns in a person’s brain activity that correlate with meaningful clinical outcomes. The research was funded by the National Institute of Mental Health (NIMH), part of the National Institutes of Health.
https://neurosciencenews.com/antidepressants-neural-signature-15661/
Researchers have discovered a neural signature that predicts whether individuals with depression are likely to benefit from sertraline, a commonly prescribed antidepressant medication. The findings, published in Nature Biotechnology, suggest that new machine learning techniques can identify complex patterns in a person’s brain activity that correlate with meaningful clinical outcomes. The research was funded by the National Institute of Mental Health (NIMH), part of the National Institutes of Health.
https://neurosciencenews.com/antidepressants-neural-signature-15661/
Neuroscience News
Neural signature identifies people likely to respond to antidepressant medication - Neuroscience News
A new machine-learning algorithm that analyzes EEG data can identify reliable and robust neural signatures associated with antidepressant treatment response.
Scalable methods for computing state similarity in deterministic Markov Decision Processes
Pablo Samuel Castro
Paper: https://arxiv.org/abs/1911.09291
Code: https://github.com/google-research/google-research/tree/master/bisimulation_aaai2020
#ArtificialIntelligence #MachineLearning #MarkovDecisionProcesses
Pablo Samuel Castro
Paper: https://arxiv.org/abs/1911.09291
Code: https://github.com/google-research/google-research/tree/master/bisimulation_aaai2020
#ArtificialIntelligence #MachineLearning #MarkovDecisionProcesses
GitHub
google-research/google-research
Google AI Research. Contribute to google-research/google-research development by creating an account on GitHub.
Growing Neural Cellular Automata
Differentiable Model of Morphogenesis
Mordvintsev et al.: https://distill.pub/2020/growing-ca/
#ArtificialIntelligence #DeepLearning #MachineLearning
Differentiable Model of Morphogenesis
Mordvintsev et al.: https://distill.pub/2020/growing-ca/
#ArtificialIntelligence #DeepLearning #MachineLearning
Distill
Growing Neural Cellular Automata
Training an end-to-end differentiable, self-organising cellular automata model of morphogenesis, able to both grow and regenerate specific patterns.
Self-training with Noisy Student improves ImageNet classification
Xie et al.: https://arxiv.org/abs/1911.04252
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
#ArtificielIntelligence #DeepLearning #MachineLearning
Xie et al.: https://arxiv.org/abs/1911.04252
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
#ArtificielIntelligence #DeepLearning #MachineLearning
GitHub
tpu/models/official/efficientnet at master · tensorflow/tpu
Reference models and tools for Cloud TPUs. Contribute to tensorflow/tpu development by creating an account on GitHub.
Learning structure (Dx-Rx) in medical records data and using that to improve prediction accuracy.
Learning the Graphical Structure of Electronic Health Records withGraph Convolutional Transformer
code
https://github.com/Google-Health/records-research/tree/master/graph-convolutional-transformer
paper
https://arxiv.org/pdf/1906.04716.pdf
Learning the Graphical Structure of Electronic Health Records withGraph Convolutional Transformer
code
https://github.com/Google-Health/records-research/tree/master/graph-convolutional-transformer
paper
https://arxiv.org/pdf/1906.04716.pdf
GitHub
records-research/graph-convolutional-transformer at master · Google-Health/records-research
Contribute to Google-Health/records-research development by creating an account on GitHub.
Andrew ng :
Consumer internet companies with 1B+ users have popularized Big Data. But industries like manufacturing, agriculture & healthcare need AI to work on Small Data. This article by Landing AI's Alejandro Betancourt gives a good overview of emerging Small Data techniques. https://www.industryweek.com/technology-and-iiot/digital-tools/article/21122846/making-ai-work-with-small-data
Consumer internet companies with 1B+ users have popularized Big Data. But industries like manufacturing, agriculture & healthcare need AI to work on Small Data. This article by Landing AI's Alejandro Betancourt gives a good overview of emerging Small Data techniques. https://www.industryweek.com/technology-and-iiot/digital-tools/article/21122846/making-ai-work-with-small-data
A Probabilistic Formulation of Unsupervised Text Style Transfer
He et al.: https://arxiv.org/abs/2002.03912
#DeepLearning #GenerativeModel #MachineLearning
He et al.: https://arxiv.org/abs/2002.03912
#DeepLearning #GenerativeModel #MachineLearning