Youtube videos that show weekly AI news

Notes:

• Machine learning (ML) is a field that blends statistics with software development and its principal goal is to make prescriptive models.
• The world has experienced an accelerated change due to machine learning in many applications, such as language translation, image and speech recognition, autonomous vehicles, and personal assistants.
• It is essential to keep learning new techniques to stay at the forefront of ML, and YouTube channels are an excellent source of knowledge, up-to-date trends, and an easy way to acquire new skills.
• W provides a list of the top 10 AI YouTube channels that focus on machine learning and that may help acquire AI-related skills:
  • DeepMind: leading AI research laboratory based in London, England, known for its groundbreaking work in AI and ML. Includes deep learning, natural language processing, and reinforcement learning. Videos include “AlphaGo: How One AI Conquered the World of Go” and “AI Progress and the Future of Work.”
  • Lex Fridman: an AI researcher and instructor at MIT who hosts a popular YouTube channel focused on AI and ML. Features interviews with leading researchers and industry experts, as well as solo discussions. Highlights include interviews with notable figures like Elon Musk and Andrew Ng, as well as in-depth discussions on cutting-edge AI research topics like deep learning and natural language processing.
  • Two Minute Papers: provides concise and easy-to-understand explanations of the latest developments in AI and ML research. The videos are typically just a few minutes long. Standout videos include “AI Generated Music: How Does It Work?” and “The AI That Can Predict the Future.”
  • Siraj Raval: popular AI and ML instructor who hosts a YouTube channel featuring a wide range of videos on topics like deep learning, natural language processing, and computer vision. In addition to instructional videos, Raval’s channel includes interviews with leading researchers and industry experts, as well as live Q&A sessions with viewers. Videos include “How to Make a Deep Learning Model in Python” and “The Math of Intelligence.”
  • Data Science Central: focuses on providing practical tips and techniques for data scientists and ML professionals. Topics include data visualization, ML algorithms, and big data analytics. Standout videos include “Top 10 Data Science Resources for Beginners” and “How to Build a Data Science Portfolio.”
  • Sentdex: focuses on Python programming and data analysis tutorials. Topics include machine learning with Python and natural language processing. Standout videos include “Python Machine Learning Tutorial” and “Natural Language Processing with Python and

• The Reddit thread named “Most promising latest developments in Artificial Intelligence” was posted 2 years ago on r/artificial.
• The post asks for discussion on what the community considers to be the most promising developments/research in AI/ML by the end of 2020 and the reasons why.
• One of the first recommendations is GPT-3, which some users in the comments section believe has limitations despite its hype.
• Several users also recommended GANs as one of the most exciting developments in AI.
• One user expressed skepticism towards deep learning (DL) systems such as GPT-x in achieving natural language understanding, which is considered the “holy grail” of AI.
• Another user provided links to various articles and research about other topics, including a method to convert text descriptions into images and a new model that generates accurate text from videos.
• A comment with 19 points from a Reddit user asks for people’s opinions on the most promising developments in AI.
• One user comments on the development of a navigation system for drones using AI and neural networks.
• Another user mentions Facebook’s AI platform, FBLearner Flow, which allows developers to run machine learning algorithms at scale.
• A user suggests that advancements in AI ethics and regulations are just as significant as technological developments in the field.
• One user recommends following the progress of companies such as OpenAI, Google, and Microsoft for updates on recent developments in AI/ML.
• Another user recommends checking out the annual NeurIPS conference proceedings for the latest research updates.
• A user suggests keeping an eye on advancements in quantum computing, which could lead to significant improvements in AI research and applications.
• One user notes the importance of explainability in AI, as black box models can make it difficult to identify where mistakes are being made.
• Another user recommends following the work of independent researchers in the AI community who are actively making significant contributions.
• One user suggests that advancements in natural language processing (NLP) and human-like reasoning capabilities could lead to a breakthrough in natural conversation with AI.
• Another user notes that developing AI that is capable of learning without human supervision would be a major breakthrough.
• AI safety and security are also mentioned as an important area to focus on.
• One user recommends keeping an eye on the tech industry’s efforts to democratize AI, making it more accessible to non-experts and smaller companies.
• Another user notes that technology adoption in areas such as healthcare and education could have a significant impact on society.

• A Reddit user posted on the computer science subreddit asking for coding channels on YouTube that offer deep understandings and good advice and that are interesting.
• Another user recommended Computerphile, which was compared to Veritasium but for computer science.
• Other user suggestions included:
  • reducible: describes as “the 3b1b of computer science”
  • What’s a Creel?: a fun computing experiments channel
  • Coding Secrets: covers how to squeeze entire games into the tiny ROMs available to 90’s game consoles
  • CS50: a good starting point for new people, along with the CS crash course series.
  • Two Minute Papers, Ben Eater, and Sebastian Lague
  • Hussein Nasser: for back-end engineering topics
  • freeCodeCamp.org: software engineering that covers a range of topics
  • LifeOverflow: cybersecurity
  • Back To Back SWE: for theory stuff
  • Fireship: focused on web mainly
  • Brad Traversy: has a plethora of stuff and also hosts guests on his channel for languages he has no or little experience in
  • thenewboston: carries the poster through CS classes that pertain to C++ and describes the coding concepts well.
  • Sentdex: mostly covers Python and provides helpful full walkthroughs for beginners
  • Lefticus1 C++ Weekly: programming channel that explains complex C++ concepts in easy-to-understand language
  • Corey Schafer: for Python programming
  • The Coding Train: mostly focused on p5.js but great at explaining coding concepts
  • Ex-google Ex-facebook-multi-millionaire techlead, Red Blob Games, and coding adventures
  • The Vlog Brothers’ Crash Course
• One user recommended a computer fundamentals playlist on YouTube to start with before any specific programming language. Another suggested starting with C/C++ first.
• A user advised against learning from YouTube and suggested using paid or free online courses or books instead for better quality.
• Another user questioned the claim of “good” channels and advised just starting to code and improving.

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• The webpage provides a list of 100 Artificial Intelligence YouTube channels for AI enthusiasts, categorized by country.
• Each channel description includes the channel name, country, a brief description of the type of content shared on the channel and the number of subscribers.
• The channel “Lex Fridman Podcast and other videos” by Lex Fridman in the USA features a variety of topics related to AI discussed in interviews, advanced topics of research, and other relevant subjects. The channel has 3M subscribers and posts one video every week.
• The channel “Ai Angel” by Angelica in the USA is a variety streamer and tech nerd who has created a positive community to show humans what AI can offer. The channel has 689K subscribers and posts one video every quarter.
• The channel “Sirajology” by Siraj Raval in the USA focuses on inspiring and educating developers to build Artificial Intelligence. The channel has 745K subscribers and posts four videos every month.
• The channel “DeepMind” in the United Kingdom is one of Google’s oldest AI teams who create AI applications through interesting partnerships. The AI is presented in an easy-to-understand language that people without technical expertise can understand. The channel has 440K subscribers and posts one video every month.
• The channel “Murtaza’s Workshop - Robotics and AI” by Murtaza Hassan in Pakistan provides weekly videos on computer vision, robotics, and AI projects. Hassan gives tutorials on how to create projects in these areas using various tools and languages. The channel has 349K subscribers and posts three videos every month.
• The channel “AI News” in the USA delivers new and impressive developments in AI, machine learning, deep learning, brain-computer interfaces, robotics, and other future technology in an educational format. The channel has 50.2K subscribers and posts one video every day.
• The channel “All About AI” by ChatGPT in Norway offers guidance on how to use generative AI to help people with creative or other daily tasks. The channel has 105K subscribers and posts three videos every week.
• The channel “Artificial Intelligence News Daily” by Alex in the USA offers news updates about artificial intelligence, data science, robots, and more. The channel has 44.3k subscribers and posts three videos every week.
• The channel “Yannic Kilcher” in Switzerland presents videos on machine learning research papers, programming, and issues of the AI community, and the broader impact of AI in society. The channel has 215

• The webpage is titled “Best 17 YouTube channels for AI and machine learning” and was posted 4 years ago on Reddit’s r/learnmachinelearning forum.
• It includes a list of 17 YouTube channels recommended by the website Gengo for individuals interested in learning AI and machine learning.
• Users within the Reddit thread discussed their opinions on some of the channels listed:
  • User A stated that Andrew Ng’s channel deeplearning.ai is the best and any list that includes Siraj Raval but not Andrew Ng is not worth looking at. He indicates that Siraj Raval’s videos are more about advertisement than learning AI.
  • User B commented that Siraj Raval has a separate site for learning AI and is more of a communicator/guide than a primary source for learning material.
  • User C agreed with User A and stated that Siraj Raval’s videos have less content and more entertainment value.
  • User D commented on the channel Two Minute Papers, stating that it is becoming more about hype than actual research papers.
• The original article by Gengo includes a brief description of each of the 17 YouTube channels on the list, along with the number of subscribers and the types of content produced.
• The list includes channels such as AI+ Podcasts, Kaggle, and Sentdex, among others, covering various aspects of AI, including applications, research, and tutorials.
• Some channels focus on specific topics such as computer vision and natural language processing, while others provide news and updates on the field of AI. However, there does not appear to be a channel that specifically covers weekly AI news.
• In addition to the list of YouTube channels, the Gengo article includes links to other resources for learning AI, such as online courses and codexes.

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3 popular YouTube channels that cover AI news