سلام دوستان

گروهی برای این کانال راه‌اندازی شده به نام "آنچه امروز یاد گرفتم". هدف از این گروه تبادل نظر و یا طرح پرسش و پاسخ در زمینه‌ی ماشین لرنینگ اصلا "نیست". به نظر می‌رسد که اسم گروه به تنهایی گویای همه چیز باشد. اما برای روشن شدن بیشتر موضوع به این مثال ساده‌ دقت کنید.

این مثال صرفا یک مثال ساده بود که نحوه‌ی به اشتراک گذاری آن‌چه که آموخته‌اید را نشان دهد.

قوانینی در مورد نحوه‌ی تعاملات در گروه وجود دارد که در گروه توضیح داده می‌شود.

با امید این‌که روش مفیدی برای انتقال تجربیات و یافته‌ها بین همه‌ی شما دوستان گرامی باشد.

ارادتمند

لینک گروه:

@DeepGravity_IveLearned

Deep learning, neural networks and the future of AI
Yann LeCun, a different TED talk

🔭 @DeepGravity

A nice definition for "epoch"

🔭 @DeepGravity

arXiv dataset and metadata of 1.7M+ scholarly papers across STEM

🔭 @DeepGravity

PhD Opportunity at The University of
Melbourne, Infrastructure Department

Dr Negin Yousefpour
Email:
negin.yousefpour@unimelb.edu.au

🔭 @DeepGravity

Neuralink Progress Update, Summer 2020

Livestream will begin sortly

🔭 @DeepGravity

And now a creative AI for brewing

https://www.linkedin.com/feed/update/urn:li:activity:6718959552512974848/

🔭 @DeepGravity

#Transformer encoder - visualized

Notebook

GitHub

🔭 @DeepGravity

‼️ 🎓 7 PhD positions in Computer Vision and Machine Learning, University of Amsterdam, #Netherlands

💶 €2,395 to €3,061 gross per month

⏳Deadline: December, 1st, 2020

🔗 link to the position
🔍 More positions: @ApplyTime_positions

🔰اپلای‌تایم را به دوستان خود معرفی کنید
✔️ @ApplyTime
🌐 https://applytime.ir

🔭 @DeepGravity

🎓 Researcher in Machine Learning and AI for/against network security, OsloMet – Oslo Metropolitan University, #Norway

📚 Fields: #Algorithms #ArtificialIntelligence #ArtificialNeuralNetwork #ComputerCommunicationsNetworks #CyberSecurity #MachineLearning

⏳ Deadline: 2021-06-15

🔗 Link to the position

🔍 More positions

✔ @ApplyTime
🌐 https://applytime.ir

🎓 Researcher in AI and Deepfake, OsloMet – Oslo Metropolitan University, #Norway

📚 Fields: #Algorithms #ArtificialIntelligence #ArtificialNeuralNetwork #MachineLearning #ComputerVision

⏳ Deadline: 2021-06-15

🔗 Link to the position

🔍 More positions

✔ @ApplyTime
🌐 https://applytime.ir

PhD position - autopilot testing with RL

🔭 @DeepGravity

اگه علاقه‌مند به ماشین لرنینگ و نوروساینس هستین، پیشنهاد می‌کنم که حتما از این رویداد دیدن کنین:

Neuromatch Academy

https://academy.neuromatch.io/
https://deeplearning.neuromatch.io/tutorials/intro.html


ویدئوها و کدها هم در دسترس عموم قرار داره.

🔭 @DeepGravity

Postdoc in Hybrid ML/Physical Modelling for Earth Science

The Model-Driven Machine Learning group @ Hereon is hiring a Postdoc (deadline Aug. 29).

We use deep learning to build faster and more accurate climate and weather models, generate forecasts and quantify uncertainty. We draw from and contribute to ongoing ML research, and adapt new ML techniques to the scale of computation and data in Earth science.

This position is designed for a curious and driven individual to focus on challenging and impactful research, supported by on-site interdisciplinary expertise and top-notch computational resources, with minimal administrative or teaching duties. The ideal candidate has strong ML expertise, with knowledge of numerical PDE integration and geoscientific modelling welcome but not essential. However, geoscientists with experience and a publication record in ML are also encouraged to apply.

We're based at the Institute of Coastal Research on the Hereon campus in Geesthacht near Hamburg, Germany and part of the helmholtz.ai initiative. Hamburg is a vibrant international hub for music, art and culture and among the world’s most livable cities.

Apply online at https://www.hereon.de/career/vacancies/020565/index.php.de

For more info see m-dml.org or contact david.greenberg@hereon.de.

🔭 @DeepGravity

PhD Position: PV forecasting with neural networks BFH/ETH
100 % / Limited for 4 years / Biel / Start by arrangement
To start with, here are some of our strong points
Plenty of contact with eager young people from all over the world who are set on achieving things.
Great freedom in work organisation with lots of leeway for your ideas, your creativity and decisiveness.
Focus on research that is geared towards practical orientation and the education of committed people rather than mere profit maximisation.
Work place in prime location with excellent access.
National and international networks and contacts with business, economy, society and the political world.
And here are even more good reasons to opt for BFH
What you'll be doing here
Conduct doctoral research at Bern University of Applied Sciences and ETH Zurich
Develop an optical-flow machine-learning framework for short-term prediction of the solar resource and the photovoltaic power generation with lead times of up to several hours
Combine ground and satellite measurements to validate the developed machine learning framework and estimate associated uncertainties
Work in a stimulating research environment, and present and publish your results in high-profile journals and conferences
Bern University of Applied Sciences and ETH Zurich are leading universities in science and technology renowned for excellent research, education, and cutting-edge innovation
What you'll bring with you
Master degree in Computer Science, Computer Vision, Machine Learning, Statistics, Engineering, Physics, or a related field
Strong background in machine learning and excellent analytical skills; Excellent programming skills, proficiency in Python; Proficiency in written and spoken English
Good proficiency in state-of-the-art libraries for machine learning or computer vision; highly motivated demonstrate strong ambition for excellence and enthusiasm for research
Please include your CV, copy of master thesis, academic trannoscript incl. list of completed courses, contact details of two referees;
and a brief denoscription of your project idea (max. 2 pages) that relates to your experience and the relevant literature

https://jobs.bfh.ch/offene-stellen/phd-position-pv-forecasting-with-neural-networks-bfh-eth/9bab4400-546b-42fb-a960-399ea7ec1c55

🔭 @DeepGravity

CMU Postdoc/Project Scientist positions in machine learning for autonomous systems

CMU Auton Lab - Jeff Schneider

The CMU Auton Lab (www.autonlab.org) develops AI and machine learning algorithms and applies them to a broad spectrum of scientific, commercial, and goverment applications.


The Role

We seek project scientists/postdocs for two projects.

The first project is on developing AI-based approaches to multi-agent perception and autonomy systems. The project includes the development and analysis of new algorithms and the implementation and testing of them on real autonomous robot teams.

The second project is on reinforcement learning algorithms for self-driving cars.


Research Areas

* deep learning, reinforcement learning, Bayesian optimization
* computer vision, lidar, active sensing, multi-sensor fusion
* robotics, autonomy


Requirements

* A PhD degree in a machine learning/autonomy related discipline (those with an MS degree may apply for other positions on these projects)
* A strong publication record
* A strong quantitative background
* Excellent software development skills in C/C++ and/or Python
* A strong background in one or more of the research areas listed above
* Excellent presentation, writing, and communication skills


Please apply by sending your CV and cover letter to
Jeff Schneider
jeff4@andrew.cmu.edu

🔭 @DeepGravity

PhD position in AI and Machine learning tools for UAV communications


Dear all,

It is my pleasure to announce a PhD opening at the Autonomous Systems Laboratory of the University of Agder, Norway.

The research project at hand is carried out by 11 researchers from the University of Agder, the University of Vigo, TU Delft, and Gradiant, and aims at developing the technology of autonomous UAVs with on-board base stations that navigate throughout the airspace to provide network connectivity in areas where it is weak or inexistent.

This PhD position involves both fundamental contributions as well as application-specific developments in the context of emergency response, such as wildfire suppression.

Needless to motivate the potential and timeliness of this exciting research topic, which combines machine learning, artificial intelligence, and UAV applications.

Details can be found here. Deadline: September 1.

Best regards,
daniel


========================================
Daniel Romero, Associate Professor
Dept. of Information and Communication Technology
University of Agder (UiA)
Address: Jon Lilletunsvei 9
4879 Grimstad, Norway
Office: A2-097, A-Building
Tel: +47 372 33 196
Email: daniel.romero@uia.no
URL: https://asl.uia.no/daniel

🔭 @DeepGravity

سلام برهمگی

اگه از دوستان کسی علاقه‌منده که تیم کوچیکی تشکیل بدیم و در چالش زیر شرکت کنیم، لطفا به من ایمیل بزنه.

https://www.aicrowd.com/challenges/the-neural-mmo-challenge

این چالش سختیه، و جدا از برنامه نویسی قوی در زمینه‌ی آر اِل، نیاز به دانش خوبی در زمینه‌ی مالتی ایجنت آر اِل هم داره. در نتیجه اگه واقعا در این زمینه تجربه دارین لطفا ایمیل بزنین. در غیر این صورت شاید بهتر باشه که وقت‌مون رو در جای دیگه‌ای بذاریم که بهره‌وری بیشتری داشته باشه.

ارادتمند

What are the limits of deep learning?

🔭 @DeepGravity