Blake Richards: Deep Learning with Ensembles of Neocortical Microcircuits
An inspiring talk by Blake Richards at the ICLR2018 emphasizing the interaction between neuroscience and machine learning. This intersection is where great things happen.
https://goo.gl/1YCjrm
https://t.iss.one/ArtificialIntelligenceArticles
An inspiring talk by Blake Richards at the ICLR2018 emphasizing the interaction between neuroscience and machine learning. This intersection is where great things happen.
https://goo.gl/1YCjrm
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
Blake Richards: Deep Learning with Ensembles of Neocortical Microcircuits (ICLR 2018 invited talks)
Abstract: Deep learning in artificial intelligence (AI) has demonstrated that learning hierarchical representations is a good approach for generating useful sensorimotor behaviors. However, the key to effective hierarchical learning is a mechanism for ""credit…
Andrew Ng : Can your AI model detect abnormalities in bone X-rays as well as a radiologist?
My Stanford University lab just released a new dataset, MURA. Join our deep learning competition to see how your model compares:
https://stanfordmlgroup.github.io/competitions/mura/
paper : https://arxiv.org/abs/1712.06957
https://twitter.com/AndrewYNg/status/999679861462634498
https://t.iss.one/ArtificialIntelligenceArticles
My Stanford University lab just released a new dataset, MURA. Join our deep learning competition to see how your model compares:
https://stanfordmlgroup.github.io/competitions/mura/
paper : https://arxiv.org/abs/1712.06957
https://twitter.com/AndrewYNg/status/999679861462634498
https://t.iss.one/ArtificialIntelligenceArticles
stanfordmlgroup.github.io
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
MURA is a large dataset of bone X-rays. Algorithms are tasked with determining whether an X-ray study is normal or abnormal.
May 25, 2018 Video: Andrew Ng on Deploying Machine Learning in the Enterprise https://goo.gl/Mg2Bst https://goo.gl/5aDMzy @ArtificialIntelligenceArticles
Yann LeCun :
Fun 50-minute documentary about Canada's role in the latest developments in AI, focusing in part on Geoff Hinton, Yoshua Bengio and Richard S. Sutton.
Produced by Bloomberg and hosted by Ashlee Vance.
With comments by Justin Trudeau and cameo appearances by Hugo Larochelle, Raquel Urtasun, me, and others.
This is part of a series of Bloomberg videos on AI.
https://goo.gl/V6B2eU
https://t.iss.one/ArtificialIntelligenceArticles
Fun 50-minute documentary about Canada's role in the latest developments in AI, focusing in part on Geoff Hinton, Yoshua Bengio and Richard S. Sutton.
Produced by Bloomberg and hosted by Ashlee Vance.
With comments by Justin Trudeau and cameo appearances by Hugo Larochelle, Raquel Urtasun, me, and others.
This is part of a series of Bloomberg videos on AI.
https://goo.gl/V6B2eU
https://t.iss.one/ArtificialIntelligenceArticles
Bloomberg
Hello World Canada: The Rise of AI
Bloomberg Businessweek presents an exclusive premiere of the latest episode of "Hello World," the tech-travel show hosted by journalist and best-selling author Ashlee Vance and watched by millions of people around the globe. There's an AI revolution sweeping…
#معرفی بات و کانال تلگرام برای دریافت روزانه مقالات در arXiv
I was wondering if there exists any Telegram bot that sends me arXiv articles everyday?
I looked up the internet but I couldn't find. I need it since it's basically hard to browse arXiv everyday and read new articles. I am not sure if here is the best place to ask this question. So sorry if I am wrong. Thanks.
—————-
Yes. There are some Telegram bots for arXiv. The one candidate for what you're looking for is @dailyarXiv_bot that sends you submitted articles everyday. Another famous option is @ArXivBot. Another bot that I've just recently seen is @arXiv_kitten.
@ArtificialIntelligenceArticles
🌍Receive arxiv.org/cs papers on telegram, daily channel telegram : https://t.iss.one/arxiv_feed
https://stackoverflow.com/questions/48931406/telegram-bot-for-arxiv
https://t.iss.one/ArtificialIntelligenceArticles
I was wondering if there exists any Telegram bot that sends me arXiv articles everyday?
I looked up the internet but I couldn't find. I need it since it's basically hard to browse arXiv everyday and read new articles. I am not sure if here is the best place to ask this question. So sorry if I am wrong. Thanks.
—————-
Yes. There are some Telegram bots for arXiv. The one candidate for what you're looking for is @dailyarXiv_bot that sends you submitted articles everyday. Another famous option is @ArXivBot. Another bot that I've just recently seen is @arXiv_kitten.
@ArtificialIntelligenceArticles
🌍Receive arxiv.org/cs papers on telegram, daily channel telegram : https://t.iss.one/arxiv_feed
https://stackoverflow.com/questions/48931406/telegram-bot-for-arxiv
https://t.iss.one/ArtificialIntelligenceArticles
Telegram
Arxiv
Arxive.org - Feed from the Computer Science section. Have suggestions? Contact me: https://fponzi.me
Hallucinogenic Deep Reinforcement Learning Using Python and Keras
https://goo.gl/MH9PPP
https://t.iss.one/ArtificialIntelligenceArticles
https://goo.gl/MH9PPP
https://t.iss.one/ArtificialIntelligenceArticles
Medium
Hallucinogenic Deep Reinforcement Learning Using Python and Keras
Teaching a machine to master car racing and fireball avoidance through “World Models”
Spectral Inference Networks: Unifying Spectral Methods With Deep Learning
https://arxiv.org/abs/1806.02215 @ArtificialIntelligenceArticles
https://arxiv.org/abs/1806.02215 @ArtificialIntelligenceArticles
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Workspaces on FloydHub : a new cloud IDE for deep learning
https://blog.floydhub.com/workspaces/ @ArtificialIntelligenceArticles
https://blog.floydhub.com/workspaces/ @ArtificialIntelligenceArticles
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VIEW IN TELEGRAM
This article is a comprehensive overview of using deep learning based object detection methods for aerial imagery via drones https://goo.gl/s1TSND @ArtificialIntelligenceArticles
Stochastic Weight Averaging — a New Way to Get State of the Art Results in Deep Learning
https://goo.gl/SyXMDX
https://t.iss.one/ArtificialIntelligenceArticles
https://goo.gl/SyXMDX
https://t.iss.one/ArtificialIntelligenceArticles
Towards Data Science
Stochastic Weight Averaging — a New Way to Get State of the Art Results in Deep Learning
In this article, I will discuss two interesting recent papers that provide an easy way to improve performance of any given neural network…
Great talk from Andrej Karpathy about the challenges of building the Software 2.0 stack.
https://goo.gl/XxyZm1
https://t.iss.one/ArtificialIntelligenceArticles
https://goo.gl/XxyZm1
https://t.iss.one/ArtificialIntelligenceArticles
Figure Eight
Building the Software 2.0 Stack by Andrej Karpathy from Tesla
Figure Eight's Artificial Intelligence Resources Center has been created and curated for data science and machine learning teams
Machine Learning Top 10 Articles for the Past Month (v.June 2018)
❄️💦10 مقاله برتر یادگیری ماشین به انتخاب Mybridge در ماه گذشته
https://goo.gl/yTVtv1 @ArtificialIntelligenceArticles
❄️💦10 مقاله برتر یادگیری ماشین به انتخاب Mybridge در ماه گذشته
https://goo.gl/yTVtv1 @ArtificialIntelligenceArticles
Improving Language Understanding with Unsupervised Learning
Unsupervised pre-training + fine-tuning (NLP)
By Alec Radford : https://blog.openai.com/language-unsupervised/
https://t.iss.one/ArtificialIntelligenceArticles
Unsupervised pre-training + fine-tuning (NLP)
By Alec Radford : https://blog.openai.com/language-unsupervised/
https://t.iss.one/ArtificialIntelligenceArticles
Yann LeCun :
ConvNet outperforms human dermatologists for melanoma detection.
Dermatologists in level-II protocol:
- sensitivity: 88.9% (±9.6%, P = 0.19)
- specificity: 75.7% (±11.7%, P < 0.05).
ConvNet:
- sensitivity: 88.9%
- specificity: 82.5%
"Conclusions: For the first time we compared a CNN’s diagnostic performance with a large international group of 58 dermatologists, including 30 experts. Most dermatologists were outperformed by the CNN. Irrespective of any physicians’ experience, they may benefit from assistance by a CNN’s image classification"
paper : https://goo.gl/oybrZj
https://t.iss.one/ArtificialIntelligenceArticles
ConvNet outperforms human dermatologists for melanoma detection.
Dermatologists in level-II protocol:
- sensitivity: 88.9% (±9.6%, P = 0.19)
- specificity: 75.7% (±11.7%, P < 0.05).
ConvNet:
- sensitivity: 88.9%
- specificity: 82.5%
"Conclusions: For the first time we compared a CNN’s diagnostic performance with a large international group of 58 dermatologists, including 30 experts. Most dermatologists were outperformed by the CNN. Irrespective of any physicians’ experience, they may benefit from assistance by a CNN’s image classification"
paper : https://goo.gl/oybrZj
https://t.iss.one/ArtificialIntelligenceArticles
OUP Academic
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition…
AbstractBackground. Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN’s diagnostic performance to l
پژوهشگران دانشگاه امآیتی موفق شدهاند با استفاده از هوش مصنوعی و امواج فرکانس رادیویی حرکات فیزیکی انسان رو از پشت دیوار تشخیص دهند
Artificial intelligence senses people through walls
Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”
https://news.mit.edu/2018/artificial-intelligence-senses-people-through-walls-0612
paper: https://openaccess.thecvf.com/content_cvpr_2018/CameraReady/2406.pdf
https://t.iss.one/ArtificialIntelligenceArticles
Artificial intelligence senses people through walls
Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”
https://news.mit.edu/2018/artificial-intelligence-senses-people-through-walls-0612
paper: https://openaccess.thecvf.com/content_cvpr_2018/CameraReady/2406.pdf
https://t.iss.one/ArtificialIntelligenceArticles
MIT News
Artificial intelligence senses people through walls
RF-Pose, a wireless smart-home system from the MIT Computer Science and Artificial Intelligence Laboratory, could monitor diseases and help the elderly “age in place.”
AI can now generate memes
Abel L Peirson V & E Meltem Tolunay:
Dank Learning. Generating Memes Using Deep Neural Networks
https://arxiv.org/abs/1806.04510 @ArtificialIntelligenceArticles
Abel L Peirson V & E Meltem Tolunay:
Dank Learning. Generating Memes Using Deep Neural Networks
https://arxiv.org/abs/1806.04510 @ArtificialIntelligenceArticles
Self-supervisory Signals for Object Discovery and Detection. https://arxiv.org/abs/1806.03370 @ArtificialIntelligenceArticles
Altered Fingerprints: Detection and Localization
Achieves a True Detection Rate (TDR) of 99.24% at a False Detection Rate (FDR) of 2%, outperforming published results
https://arxiv.org/abs/1805.0091
Achieves a True Detection Rate (TDR) of 99.24% at a False Detection Rate (FDR) of 2%, outperforming published results
https://arxiv.org/abs/1805.0091
AI could get 100 times more energy-efficient with IBM’s new artificial synapses
Copying the features of a neural network in silicon might make machine learning more usable on small devices like smartphones.
https://goo.gl/hFfg69
paper : https://goo.gl/xyXbWo
https://t.iss.one/ArtificialIntelligenceArticles
Copying the features of a neural network in silicon might make machine learning more usable on small devices like smartphones.
https://goo.gl/hFfg69
paper : https://goo.gl/xyXbWo
https://t.iss.one/ArtificialIntelligenceArticles
MIT Technology Review
AI could get 100 times more energy-efficient with IBM’s new artificial synapses
Copying the features of a neural network in silicon might make machine learning more usable on small devices like smartphones.
مقاله جدیدی از پروفسور Li Fei-Fei
new paper : Li Fei-Fei
Learning to Decompose and Disentangle Representations for Video Prediction. https://arxiv.org/abs/1806.04166 @ArtificialIntelligenceArticles
new paper : Li Fei-Fei
Learning to Decompose and Disentangle Representations for Video Prediction. https://arxiv.org/abs/1806.04166 @ArtificialIntelligenceArticles