​​Official announcement 🎉
We are launching new open source deep learning course with Catalyst.
Course notebooks and assigments will be in English. Lectures and seminar videos - in Russian (we are working on their translation).

Catalyst is a PyTorch ecosystem framework for Deep Learning research and development. It focuses on reproducibility, rapid experimentation and codebase reuse. This means that you can seamlessly run training loop with metrics, model checkpointing, advanced logging and distributed training support without the boilerplate code.

In this course we will dive into back-propagation algorithm. After that we will go through computer vision, generative adversarial networks and metric learning tasks. We will also talk about NLP and RecSys best practices with RL applications for them. Last but not least, we will speak about day-to-day engineering tricks, that every MLE should know about. During the course you will need to pass several kaggle competitions and deploy our own machine learning microservice in the end of the course.

Join our slack and let's accelerate your DL RnD with Catalyst 🚀

Github: https://github.com/catalyst-team/dl-course
Stepik: https://stepik.org/course/83344
Slack: https://join.slack.com/t/catalyst-team-core/shared_invite/zt-d9miirnn-z86oKDzFMKlMG4fgFdZafw

International AI Finland virtual conference 30.9.2020
The AI Finland 2020 event is an international virtual conference focusing on business research collaboration in AI. The aim is to create an AI Finland concept that brings together companies and top-level research instances in different themes and areas each year. The AI Finland event starts in Tampere, the heart of Finnish industry scene, and focuses thus on sustainable smart production.
https://tampere.ai/en/ai-finland-2020-en/

Major new features of the 3.9 series, compared to 3.8
Some of the new major new features and changes in Python 3.9 are:

- PEP 573, Module State Access from C Extension Methods
- PEP 584, Union Operators in dict
- PEP 585, Type Hinting Generics In Standard Collections
- PEP 593, Flexible function and variable annotations
- PEP 602, Python adopts a stable annual release cadence
- PEP 614, Relaxing Grammar Restrictions On Decorators
- PEP 615, Support for the IANA Time Zone Database in the Standard Library
- PEP 616, String methods to remove prefixes and suffixes
- PEP 617, New PEG parser for CPython
- BPO 38379, garbage collection does not block on resurrected objects;
- BPO 38692, os.pidfd_open added that allows process management without races and signals;
- BPO 39926, Unicode support updated to version 13.0.0;
- BPO 1635741, when Python is initialized multiple times in the same process, it does not leak memory anymore;
- A number of Python builtins (range, tuple, set, frozenset, list, dict) are now sped up using PEP 590 vectorcall;
- A number of Python modules (_abc, audioop, _bz2, _codecs, _contextvars, _crypt, _functools, _json, _locale, operator, resource, time, _weakref) now use multiphase initialization as defined by PEP 489;
- A number of standard library modules (audioop, ast, grp, _hashlib, pwd, _posixsubprocess, random, select, struct, termios, zlib) are now using the stable ABI defined by PEP 384.

PEP 584 — new operator "|" that can be used to merge two dictionaries

PEP 584 — another new operator "|=" will let you update dictionaries.

سلام
آزمایشگاه علوم داده برای یک پروژه صنعتی نیاز به یک نفر آشنا به تهیه طرح کسب و کار (business plan) و آشنا به نرم افزار Comfar است. علاقمندان با من تماس بگیرند.

دوره‌ی deep learning دانشگاه NYU که توسط Yann LeCun و Alfredo Canziani ارائه شد و به 11 زبان دنیا از جمله فارسی موجوده:

انگلیسی:
https://atcold.github.io/pytorch-Deep-Learning/

فارسی:
https://atcold.github.io/pytorch-Deep-Learning/fa/

✳️تشکر ویژه از تمام کسانی که در ترجمه فارسی کمک کردند

●ثبت نام در اولین دوره مبانی علوم کامپیوتر دانشگاه هاروارد شروع شد!
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@CS50xIran

Machine Learning Basics | What is Artificial Intelligence? | Introduction To Machine Learning | https://youtu.be/AWQjAQI6k3Y

🎫رویداد آنلاین و رایگان "استخدام شدن به عنوان کارشناس یادگیری ماشین"

📌در این رویداد به سوالات زیر پاسخ داده خواهد شد:
- ساختار شرایط فعلی موقعیت‌های شغلی هوش مصنوعی چیست؟
- استخدام‌کنندگان در هنگام بررسی رزومه به دنبال چه چیزی می‌گردند؟
- چگونه بهتر برای مصاحبه AI/ML آماده شویم؟

🎴با حضور کیان کتان‌فروش، استاد دانشگاه استنفورد و موسس وُرکرا

📅پنجشنبه 24 مهر
⏱ساعت 20:30 به وقت تهران

پیشنهاد میکنیم با حضور در این دوره، مسیر شغلی هوش‌مصنوعی رو از نزدیک ببینید.

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جذاب ترین مباحثِ علمی با بیشترین ارجاعات
Google Scholar reveals its most influential papers for 2020
Google Scholar has
released its annual ranking of most highly cited publications. Artificial intelligence (AI) research dominates once again, accumulating huge numbers of citations over the past year.

Computer vision research in particular attracts a high number citations over a short period of time. Many of the most highly cited papers in this ranking are centred on object detection and image recognition – research that is crucial for technologies such as self-driving cars and surveillance.

Research assistant(Ph.D) position in Germany


At the Faculty II - Computer Science, Economics and Law - the Carl von Ossietzky University Oldenburg is in the Department of Computer Science in the "Media Informatics and Multimedia Systems" (Prof. Dr. S. Boll) to the next appointment a job as research assistant (m/f/d) (fee group 13 TV-L, 100%) for three years. The prerequisites for employment are a degree with above-average completed scientific university studies (master or diploma) in computer science or a related Master's program, team spirit and very good English language skills in spoken and written. Due to the orientation of the working group In-depth previous knowledge in the field of human-technology interaction, conception, Development and evaluation of interactive systems required. Furthermore, previous knowledge in the areas of Tangible, Embedded, Embodied Interaction and Smart Home with special focus on human-technology interaction desirable. In the project "RIME - Rich Interactive Materials for Everyday Objects in the Home", the task will be to investigate human interaction with sensors, actuators and the integration of touch-based interaction in everyday materials to research to support the natural handling of the smart home of the future. There will be an opportunity for doctoral studies. The position is suitable part-time. The Carl von Ossietzky University strives to increase the proportion of women in the scientific field increase. Women are therefore strongly encouraged to apply. According to § 21 Paragraph 3 NHG should give preference to female applicants with equivalent qualifications become. Severely handicapped persons will be given preferential employment if they are equally qualified. Applications with the usual documents must be sent to Carl von Ossietzky University Oldenburg, Faculty II, Department of Computer Science, at the moment Prof. Dr. S. Boll, Escherweg 2, 26121 Oldenburg or by e-mail to susanne.boll@informatik.uni-oldenburg.de