Forwarded from کانال خبر ویژه 💯 (News 6)
🔺امروز روز برنامه‌نویسه ، در سیستم دودویی کامپیوتری تعداد اعدادی که می‌توان توسط یک بایت تولید کرد ۲۵۶تا است.به همین خاطر۲۵۶امین روز سال میلادی روز برنامه نویس است
تبریک به برنامه نویسها🌺
@khabare_vije
تبریک به برنامه نویسها🌺
@khabare_vije
Forwarded from جادی، کیبورد آزاد - Jadi
روز برنامه نویس
روز تموم شد ولی ریفکتور میخواد
روز ۵ دقیقه دیگه تموم میشه
روز پوش کردم نمی دونم چرا نیست
روز رو سیستم من کار می کنه
روز باید فریم ورک خودمون رو بنویسیم
روز تا حالا ۱ ملیون رکوئست هندل کردی آخه
...
مبارک
روز تموم شد ولی ریفکتور میخواد
روز ۵ دقیقه دیگه تموم میشه
روز پوش کردم نمی دونم چرا نیست
روز رو سیستم من کار می کنه
روز باید فریم ورک خودمون رو بنویسیم
روز تا حالا ۱ ملیون رکوئست هندل کردی آخه
...
مبارک
Using Machine Learning to Battle Antibiotic Resistance
Link
#machinelearning #artificialintelligence
@pythonicAI
Link
#machinelearning #artificialintelligence
@pythonicAI
The Scientist Magazine®
Using Machine Learning to Battle Antibiotic Resistance
Researchers are using artificial intelligence to identify known and novel resistance genes.
Artificial Intelligence Detects Heart Failure From One Heartbeat With 100% Accuracy - Nicholas Fearn
Link
#machinelearning #artificialintelligence
@pythonicAI
Link
#machinelearning #artificialintelligence
@pythonicAI
Forbes
Artificial Intelligence Detects Heart Failure From One Heartbeat With 100% Accuracy
Led by researchers at the Universities of Surrey, Warwick and Florence, new research shows that AI can quickly and accurately identify CHF by analyzing just one electrocardiogram (ECG) heartbeat.
Forwarded from Tensorflow(@CVision) (Vahid)
وقتی نویسنده‌های مقاله مدلی ارایه می‌دهند که می‌تواند متون را خلاصه کند و برای نوشتن چکیده مقاله همان مدل از آن استفاده می‌کنند!
لینک مقاله:
https://arxiv.org/abs/1909.03186
لینک مقاله:
https://arxiv.org/abs/1909.03186
Y-Autoencoders: disentangling latent representations via sequential-encoding
https://arxiv.org/abs/1907.10949
#paper #artificialintelligence
@pythonicAI
https://arxiv.org/abs/1907.10949
#paper #artificialintelligence
@pythonicAI
arXiv.org
Y-Autoencoders: disentangling latent representations via...
In the last few years there have been important advancements in generative models with the two dominant approaches being Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)....
Robotics surgeries may currently be an expensive proposition for hospitals, but robots and artificial intelligence will certainly play a major role in the healthcare sector in the future.
Several startups such as DiFacto Robotics, SigTuple and Aindra are working to bring new technologies to reality in India. A group of top executives from hospital chains, investment firms and startups discussed the future of healthcare at the News Corp VCCircle Healthcare Investment Summit, held in Mumbai recently.
Link
#robotics #artificialintelligence
@pythonicAI
Several startups such as DiFacto Robotics, SigTuple and Aindra are working to bring new technologies to reality in India. A group of top executives from hospital chains, investment firms and startups discussed the future of healthcare at the News Corp VCCircle Healthcare Investment Summit, held in Mumbai recently.
Link
#robotics #artificialintelligence
@pythonicAI
YouTube
How robotics, artificial intelligence can change healthcare sector
Robotics surgeries may currently be an expensive proposition for hospitals, but robots and artificial intelligence will certainly play a major role in the healthcare sector in the future. Several startups such as DiFacto Robotics, SigTuple and Aindra are…
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
How normalization applied to layers helps to reach faster convergence.
https://arxiv.org/abs/1502.03167
#paper #deeplearning #artificialintelligence
@pythonicAI
How normalization applied to layers helps to reach faster convergence.
https://arxiv.org/abs/1502.03167
#paper #deeplearning #artificialintelligence
@pythonicAI
arXiv.org
Batch Normalization: Accelerating Deep Network Training by...
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. This slows down the...
CvxNets: Learnable Convex Decomposition
by Geoffrey Hinton, Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Andrea Tagliasacchi
https://arxiv.org/abs/1909.05736
#paper #artificialintelligence
@pythonicAI
by Geoffrey Hinton, Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Andrea Tagliasacchi
https://arxiv.org/abs/1909.05736
#paper #artificialintelligence
@pythonicAI
arXiv.org
CvxNet: Learnable Convex Decomposition
Any solid object can be decomposed into a collection of convex polytopes (in short, convexes). When a small number of convexes are used, such a decomposition can be thought of as a piece-wise...
Bayes' theorem explained with examples and implications for life.
Link
#artificialintelligence
@pythonicAI
Link
#artificialintelligence
@pythonicAI
YouTube
The Bayesian Trap
Bayes' theorem explained with examples and implications for life.
Check out Audible: http://ve42.co/audible
Support Veritasium on Patreon: http://ve42.co/patreon
I didn't say it explicitly in the video, but in my view the Bayesian trap is interpreting events…
Check out Audible: http://ve42.co/audible
Support Veritasium on Patreon: http://ve42.co/patreon
I didn't say it explicitly in the video, but in my view the Bayesian trap is interpreting events…
Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations
http://arxiv.org/abs/1909.04760
#paper #deeplearning #artificialintelligence
@pythonicAI
http://arxiv.org/abs/1909.04760
#paper #deeplearning #artificialintelligence
@pythonicAI
Forwarded from جادی، کیبورد آزاد - Jadi
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خبری مهم در دنیای کامپیوترهای کوانتومی: گوگل مسأله ای که روی کامپیوترهای مرسوم ۱۰ هزار سال طول می‌کشید رو در ۲۰۰ ثانیه حل کرد. لحظه زیبای کوانتوم سوپرماسی
a complete guide to the stochastic gradient descent algorithm
Link
#machinelearning #artificialintelligence
@pythonicAI
Link
#machinelearning #artificialintelligence
@pythonicAI
YouTube
Stochastic Gradient Descent | Why and How it Works?
This video contains all the conceptual details of the stochastic gradient descent and mini-batch gradient descent with a python implementation! I know it's a...
Useful paper about calibration of NN to reduce overfit
https://arxiv.org/pdf/1706.04599.pdf
#paper #neuralnetwork #artificialintelligence
@pythonicAI
https://arxiv.org/pdf/1706.04599.pdf
#paper #neuralnetwork #artificialintelligence
@pythonicAI
Understanding Transfer Learning for Medical Imaging
ArXiV: https://arxiv.org/abs/1902.07208
#paper #machinelearning #artificialintelligence
@pythonicAI
ArXiV: https://arxiv.org/abs/1902.07208
#paper #machinelearning #artificialintelligence
@pythonicAI
arXiv.org
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfer learning from natural image datasets, particularly ImageNet, using standard large models and corresponding pretrained weights has become a de-facto method for deep learning applications...