MIT 6.622 Power Electronics, Spring 2023
Instructor: David Perreault

View the complete course (or resource): https://ocw.mit.edu/courses/6-....622-power-electronic
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The primary function of power electronic circuits is the processing and control of electrical energy. This class discusses the history, evolution, needs, and goals of power electronics.

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In this comprehensive hands-on workshop, Jon Krohn and Ed Donner introduce AI agents, including multi-agent systems. All the essential theory of agentic AI is provided alongside hands-on code demos in Python that feature the critical agent frameworks: MCP, CrewAI and the OpenAI Agents SDK. From design considerations through to practical implementation tips, by completing all four modules in this video, you will have all the knowledge and skills needed to develop and deploy your own multi-agent teams.

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This lecture, by DeepMind Research Scientist Felix Hill, first discusses the motivation for modelling language with ANNs: language is highly contextual, typically non-compositional and relies on reconciling many competing sources of information. This section also covers Elman's Finding Structure in Time and simple recurrent networks, the importance of context and transformers. In the second part, he explores unsupervised and representation learning for language from Word2Vec to BERT. Finally, Felix discusses situated language understanding, grounding and embodied language learning.

Download the slides here:
https://storage.googleapis.com..../deepmind-media/UCLx

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Felix Hill is a Research Scientist working on grounded language understanding, and has been at DeepMind for almost 4 years. He studied pure maths as an undergrad, then got very interested in linguistics and psychology after reading the PDP books by McClelland and Rumelhart, so started graduate school at the University of Cambridge, and ended up in the NLP group. To satisfy his interest in artificial neural networks, he visited Yoshua Bengio's lab in 2013 and started a series of collaborations with Kyunghyun Cho and Yoshua applying neural nets to text processing. This led to some of the first work on transfer learning with sentence representations (and a neural crossword solver). He also interned at FAIR in NYC with Jason Weston. At DeepMind, he's worked on developing agents that can understand language in the context of interactive 3D worlds, together with problems relating to mathematical and analogical reasoning.

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OpenAI announced GPT-4 yesterday and it's a beast. It can now handle 25K words of context, allowing it to provide more relevant code solutions for programmers.

#tech #chatgpt #thecodereport

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🔗 Resources

GPT-4 Overview https://openai.com/product/gpt-4
GPT-4 Paper https://paperswithcode.com/pap....er/gpt-4-technical-r
ChatGPT API Tutorial https://youtu.be/e2uvhJ7r1UQ
5 AI Business Ideas https://youtu.be/Aa83vRghue4


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🔖 Topics Covered

- What does GPT-4 mean for the tech world?
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- Can AI replace lawyers?
- Will AI replace programmers?
- What's new in GPT4?
- How do I use ChatGPT version 4
- Using images with GPT4

Watch as one of the creators behind Ameca, the lifelike robot that went viral on social media, shows off more of its lifelike behavior at CES 2022. Then we take a stroll through memory lane back to 2019 when the creator of Sophia discusses his thoughts on the future of robotics and AI.

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This Deep Learning tutorial will help you in understanding what is Deep learning, why do we need Deep learning, applications of Deep Learning along with a detailed explanation on Neural Networks and how these Neural Networks work. Deep learning is inspired by the integral function of the human brain specific to artificial neural networks. These networks, which represent the decision-making process of the brain, use complex algorithms that process data in a non-linear way, learning in an unsupervised manner to make choices based on the input.


Below topics are explained in this Deep Learning Tutorial:
Start (0:00)
1. What is Deep Learning? ( 02:25 )
2. Why do we need Deep Learning? ( 03:42 )
3. Applications of Deep Learning ( 04:55 )
4. What is Neural Network? ( 11:32 )
5. Activation Functions ( 15:50 )
6. Working of Neural Network ( 26:14 )

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Watch more videos on Deep Learning: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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Пульсирующая черная дыра в центре отдаленной галактики проливает свет как на черные дыры в целом, так и на образование галактик. Как быстро черные дыры вращаются, и как это вращение меняется на протяжении всей их жизни?

Перевод: Юлия Яковлева
Редактура: Алексей Лоскутов
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Озвучки Vert Dider выходят с вашей помощью:

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Источник: https://youtu.be/fu3645D4ZlI