‍ (http://axnegar.fahares.com/axnegar/Nat7Dey9XgEHb1/5071799.jpg)


👁‍🗨#معرفی_محقیق_هوش_مصنوعی

#معرفی_محققین_هوش_مصنوعی_در_جهان

شما احتمالا می دانید که هوش مصنوعی چیست و همچنین می دانید در همه ی زمینه ها کاربرد دارد .اما ممکن است شما با محققان و تکنولوژیست های هوش مصنوعی آشنایی نداشته باشید.در این کانال قصد داریم با معرفی محققین و چهره های هوش مصنوعی ایران و جهان در کانال بپردازیم همراه ما باشید.


امروز محقق یا فرد دیگه ای که در زمینه ی هوش مصنوعی فعالیت میکنند اشنا می شویم .قبلا با ANDREW NG ,Andrej Karpathy اشنا شدیم .


3.Michael I. Jordan

طبق گفته سایت FastML مایکل جردن یک متخصص مشهور از برکلی است.مایکل در مدل های گرافیکی احتمالی، روش های طیفی، پردازش زبان طبیعی، ژنتیک آماری بیشتر تمرکز می کند.او همچنین یکی از افرادی است که برای اولین بار روش هایی را که آمار و یادگیری ماشین با هم همپوشانی می کنند به ارمغان آورد.

🌎🔥اندرو نگ (ANDREW NG ) خود در دنیای یادگیری ماشین مشهور است یکی از شاگرادن مایکل جردن است .


🔵Biography

Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley.

His research interests bridge the computational, statistical, cognitive and biological sciences, and have focused in recent years on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, kernel machines and applications to problems in distributed computing systems, natural language processing, signal processing and statistical genetics. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM.




وب سایت شخصی :

https://people.eecs.berkeley.edu/~jordan/?_ga=1.104786372.57480868.1488216728

https://www2.eecs.berkeley.edu/Faculty/Homepages/jordan.html

محقق مایکل جردن برنده 100،000 دلار جایزه رومانهارت برای علم شناختی

http://news.berkeley.edu/2014/07/28/michael-jordan-wins-rumelhart-prize/


مقالات

https://scholar.google.com/citations?user=yxUduqMAAAAJ

https://www.researchgate.net/profile/Michael_Jordan13



مصاحبه ای با مایکل جردن

https://www.reddit.com/r/MachineLearning/comments/2fxi6v/ama_michael_i_jordan/


http://cmsa.fas.harvard.edu/bigdata_michaeljordan/


🔵On Computational Thinking, Inferential Thinking and Data Science


https://www.youtube.com/watch?v=bQ02K0kWKzg


🔵DEI Distinguished Lecturer Series - Michael I. Jordan

https://www.youtube.com/watch?v=Cq6xGNcYe-8


https://www.oreilly.com/ideas/ray-a-distributed-execution-framework-for-emerging-ai-applications

Brain inspired Chips - Neuromorphic Computing

#AI #BigData #wearables #DataScience
#fintech #Insurtech
http://bit.ly/2sDgFwA

LONDON DEEP LEARNING IN RETAIL & ADVERTISING SUMMIT, DAY 1 HIGHLIGHTS http://dlvr.it/PTKJKz

Tracking humans in 3-D with off-the-shelf webcams https://scienmag.com/?p=1545465
Video and Paper :http://gvv.mpi-inf.mpg.de/projects/VNect/

F-35, F-22 to Get Artificial Intelligence | RealClearDefense http://bit.ly/2tZoTm5 #ai #ml #dl

آموزش یادگیری ماشین با اندرو جی تاریخ شروع 10 جولای

Machine Learning (Coursera) http://bit.ly/2sCZE5p #ai #ml #dl https://yangx.top/ArtificialIntelligenceArticles

Using Computer Vision to Prepare Images for Text Extraction https://www.linkedin.com/pulse/using-computer-vision-prepare-images-text-extraction-amer-agovic

Deep Learning Engineer - CNN, GPU, Python, C++, Save Lives! - CyberCoders - Los Angeles, CA - 07-0... http://bit.ly/2t1FvW2 #ai #ml #dl

Career of the Future: Robot Psychologist
Engineers are using cognitive psychology to figure out how AIs think and make them more accountable http://bit.ly/2tWSxZH #ai #ml #dl

Machine Learning For Policy Makers. #BigData #MachineLearning #DataScience #AI #CyberSecurity #Python
http://buff.ly/2twKXDQ

Learning about the world through video http://buff.ly/2sS58xp #deeplearning #video #machinelearning

Customer Lifetime Value Prediction Using Embeddings. #BigData #MachineLearning #DataScience #AI #TensorFlow #CX
http://buff.ly/2twtATU

Has #Apple's iPhone facial recognition system been revealed? http://www.dailymail.co.uk/sciencetech/article-4672934/Has-Apple-s-facial-recognition-revealed.html … #biometrics #AI #ML

Measuring and predicting neighborhood changes with #machinelearning http://mitsha.re/IijG30drnr9

"Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks," Gul/Gunturk: https://arxiv.org/abs/1707.00815

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

https://github.com/owainlewis/awesome-artificial-intelligence … #ai #bigdata

"Emergence of Locomotion Behaviours in Rich Environments" by DeepMind: run, jumpو.... https://arxiv.org/abs/1707.02286

"A Nested Attention Neural Hybrid Model for Grammatical Error Correction" by MS: correct both characters and words https://arxiv.org/abs/1707.02026

Excited to share our new paper from Google Brain Robotics! End-to-end Learning of Semantic Grasping https://arxiv.org/abs/1707.01932

Deep Logo: "A deep learning architecture for brand recognition". Paper: https://github.com/fraferra/deepLogo_demo/blob/master/static/assets/img/deeplogo_paper.pdf

Semantic Segmentation using Fully Convolutional Networks over the years https://meetshah1995.github.io/semantic-segmentation/deep-learning/pytorch/visdom/2017/06/01/semantic-segmentation-over-the-year