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This AI newsletter is all you need #16
Newsletter

This AI newsletter is all you need #16

Last Updated on November 1, 2022 by Editorial Team

Author(s): Towards AI Editorial Team

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

What happened this week in AI byΒ Louis

Diffusions are being used for everything: images, videos, 3D models and soon even audio thanks to StabilityAI, the company behind Stable Diffusion. StabilityAI announced an β€œAI Music Generator’’ called Harmonai based on the β€œDance Diffusion” Model, which is basically a stable diffusion model for generating sound instead of images. Diffusion-based models are definitely replacing convolutions and vision transformers even though they are using some of the same principles. We believe they will be here for a bit and are definitely worth learning more about, as they are just getting started and the field is still in the first experimentation phase with this architecture. Our friends at Delta Academy with whom we are partnering, might be building a complete and really innovative course on diffusion models. It would allow you to learn about the models and implement them by competing in game competitions with your peers. If that sounds interesting, stay tuned because we will make the announcements on the Discord channel! If you’d like to learn more about diffusion models, have a look at this article on TowardsΒ AI.

Hottest News

  • Deepmind tackles algorithm discovery with AlphaTensor
    As I mention in the second paper below, Deepmind published β€œDiscovering faster matrix multiplication algorithms with reinforcement learning” in which they tackle the task of discovering new algorithms using deep reinforcement learning to allow for faster and unique discoveries of new algorithms. In their blog post, they mention that it is the first extension of AlphaZero applied to mathematics already unlocking new possibilities for research! Read more in their blogΒ post.
  • β€œBlueprint for an AI Bill of Rights”
    The White House Office of Science & Technology Policy released a list of suggestions that developers, businesses, users, and lawmakers can follow to reduce AI’s potential harms! It has a lot of details covering all the what, why, and how behind the suggestions. Have aΒ look!
  • Activeloop releases Deep Lake, the data lake for deep learning
    Deep Lake stores complex data, such as images, videos, annotations, embeddings, and tabular data in the form of tensors and rapidly streams the data over the network to Tensor Query Language, in-browser visualization engine, and deep learning frameworks without sacrificing GPU utilization. Deep Lake outperforms all open-source data loaders (Webdataset, PyTorch, Torchdata, & others) on the landscape in a variety of scenarios. Read the announcement post, download the whitepaper, or watch theΒ demo.

Most interesting papers of theΒ week

The Learn AI Together Community section!

Meme of theΒ week!

Meme once again shared by friedliver#0614. Share your meme with us on the memeΒ channel!

Featured Community post from theΒ Discord

An E-commerce text classification notebook!

This notebook by Sugata Ghosh, one of our members, goes over e-commerce text classification using TF-IDF and Word2Vec. It is thorough, well explained and very professional. A great resource for product classification and playing with text data. Check it out and let Sugata know your thoughts and feedback!

AI poll of theΒ week!

Join the discussion onΒ Discord.

TAI CuratedΒ section

Article of theΒ week

Building Feedforward Neural Networks from Scratch by NicolΓ²Β Tognoni

Deep learning techniques are based on neural networks, commonly referred to as Artificial Neural Networks (ANNs), which are a subset of machine learning. You will learn more about Feed Forward Neural Networks in this article, starting with the fundamentals such as what a perceptron is and working your way up to backpropagation. With the use of interactive pictures, the author skillfully addressed all the crucial points while keeping the article’s length inΒ mind.

Our must-read articles

Adaptive Learning for Time Series Forecasting by Reza Yazdanfar

Building an End-to-End Linked Data Engineering Project by EdoardoΒ Bianchi

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This AI newsletter is all you need #16 was originally published in Towards AI on Medium, where people are continuing the conversation by highlighting and responding to this story.

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