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Data Phoenix

Logo of telegram channel dataphoenix — Data Phoenix D
Logo of telegram channel dataphoenix — Data Phoenix
Channel address: @dataphoenix
Categories: Technologies
Language: English
Subscribers: 1.76K
Description from channel

Data Phoenix is your best friend in learning and growing in the data world!
We publish digest, organize events and help expand the frontiers of your knowledge in ML, CV, NLP, and other aspects of AI. Idea and implementation: @dmitryspodarets

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The latest Messages 39

2021-07-23 09:00:06 Reducing the Computational Cost of Deep Reinforcement Learning Research
In this exploratory and research article by Google AI, you'll learn about the team's efforts to to reproduce the findings of the Rainbow paper and uncover new and interesting phenomena. The results of Google's experiments are quite interesting.
https://bit.ly/3rtT0h7
379 views06:00
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2021-07-22 15:00:06 The latest issue of the digest is already waiting for you on our website! New articles, papers, books, and more! Tap on the link and feel free to subscribe
https://bit.ly/36UjEGI
472 views12:00
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2021-07-22 09:00:06 Blender Bot 2.0: An Open Source Chatbot that Builds Long-Term Memory and Searches the Internet
In this article by Facebook AI, you'll learn about BlenderBot 2.0, the first chatbot that can simultaneously build long-term memory, search the internet for timely information, and have sophisticated conversations on nearly any topic.
https://bit.ly/3wXQK30
140 views06:00
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2021-07-21 17:00:05 Hey there! Are you waiting for our weekly digest? We can’t wait to share! If you haven’t subscribed yet, kindly do it and you won't miss a thing!
https://bit.ly/3xZsnmW
339 views14:00
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2021-07-21 15:15:21 ​​5 types of robots you should know

Mechanical bots come in all shapes and sizes to efficiently carry out the task for which they are designed. All robots vary in design, functionality and degree of autonomy. Generally, there are five types of robots:

1) Pre-Programmed Robots
Pre-programmed robots operate in a controlled environment where they do simple, monotonous tasks. An example of a pre-programmed robot would be a mechanical arm on an automotive assembly line. The arm serves one function — to weld a door on, to insert a certain part into the engine, etc. — and its job is to perform that task longer, faster and more efficiently than a human.

2) Humanoid Robots
Humanoid robots are robots that look like and/or mimic human behavior. These robots usually perform human-like activities (like running, jumping, and carrying objects), and are sometimes designed to look like us, even having human faces and expressions.

3) Autonomous Robots
Autonomous robots operate independently of human operators. These robots are usually designed to carry out tasks in open environments that do not require human supervision. They are quite unique because they use sensors to perceive the world around them, and then employ decision-making structures (usually a computer) to take the optimal next step based on their data and mission. An example of an autonomous robot would be the Roomba vacuum cleaner, which uses sensors to roam freely throughout a home.


4) Teleoperated Robots
Teleoperated robots are semi-autonomous bots that use a wireless network to enable human control from a safe distance. These robots usually work in extreme geographical conditions, weather, circumstances, etc. Examples of teleoperated robots are the human-controlled submarines used to fix underwater pipe leaks during the BP oil spill or drones used to detect landmines on a battlefield.

5) Augmenting Robots
Augmenting robots either enhance current human capabilities or replace the capabilities a human may have lost. The field of robotics for human augmentation is a field where science fiction could become reality very soon, with bots that have the ability to redefine the definition of humanity by making humans faster and stronger. Some examples of current augmenting robots are robotic prosthetic limbs or exoskeletons used to lift hefty weights.
384 views12:15
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2021-07-21 09:00:10
JupyterLite: Jupyter, WebAssembly, and Python

A succinct overview of JupyterLite, a JupyterLab distribution that runs entirely in the web browser, backed by in-browser language kernels. The article explains why it's a nice-to-have solution and how to use it. It offers several use cases to try it out online.

https://bit.ly/2Ttx4Gy
310 views06:00
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2021-07-20 17:00:09
LOGML Summer School

Here you'll find a collection of videos from LOGML Summer School (London Geometry and Machine Learning). The videos encompass a wide range of topics, from deep 3D generative modeling to tropical support vector machines and graph ML.

Have you seen these, let us know?
https://bit.ly/3ezqeXq
502 views14:00
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2021-07-20 16:33:39 Join the researchers and programmers channel (advanced level).

The latest paid books and scientific articles

t.me/DataScience_Books
513 views13:33
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2021-07-20 12:39:31 ​​PyCharm is one of the most popular Python IDEs

There is a few reasons for this, including the fact that it is developed by JetBrains — the developer of the popular IntelliJ IDEA IDE (one of the big three of Java IDEs) and the “smartest JavaScript IDE” WebStorm. The support of web development capabilities (thanks to Django) is yet another credible reason.

There are many other factors that make PyCharm one of the most complete and comprehensive integrated development environments for working with Python.

PyCharm comes with lots of modules, packages, and tools to speed up Python development while minimizing the required effort. On top of that, PyCharmit can be easily customized based on development requirements and personal preferences.

The main reason Pycharm was used to develop the IDE was Python; i.e. the ability of this programming language to make it easier for developers to complete various dev & ops tasks across multiple platforms like Windows, Linux, and macOS. The IDE includes code analysis tools, a debugger, testing tools, and also several version control features.

PyCharm is an extremely popular Python IDE. The Integrated Development Environment features a code editor and a compiler for writing and compiling programs in one or many programming languages
https://bit.ly/3hNOkQa
533 views09:39
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2021-07-19 15:00:06 State of Computer Vision — CVPR 2021

Another detailed overview of the 2021 CVPR conference featuring recent trends, CV learning examples, new CV learning methods, vision language models, and more. The article ends with several specific use cases of learning on limited data.

https://bit.ly/3itUTXj
122 views12:00
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