explained

Machine Learning

DeepMind tackles Math and More in ML News

Here’s the latest round up of ML News: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:10 – DeepMind tackles fundamental math 6:45 – Microsoft focuses on scaling effectively and efficiently 10:15 – NeurIPS Anthology Visualization 13:30 – Timnit Gebru launches research institute independent from big tech 16:50 – SageMaker Canvas for no-code ML […]

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AI Research

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

Backpropagation is the workhorse of deep learning, but unfortunately, it only works for continuous functions that are amenable to the chain rule of differentiation. Since discrete algorithms have no continuous derivative, deep networks with such algorithms as part of them cannot be effectively trained using backpropagation. This paper presents a method to incorporate a large […]

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Blockchain Cryptocurrency

How to turn your art into an NFT – Step by Step Tutorial

After seeing the money to be made in this space are you looking for ways to turn your art into a NFT? In this short step-by-step tutorial I show you how to create and list a non-fungible token on Rarible and Opensea. Listing is free on both marketplaces, except gas fees that occur on every […]

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AI Machine Learning

[ML News] Google introduces Pathways | OpenAI solves Math Problems | Meta goes First Person

Yannic provides us with a  dose of Machine Learning News. Time stamps: 0:00 – Intro 0:20 – Sponsor: Weights & Biases 2:10 – Google Introduces Pathways AI Architecture 6:30 – OpenAI trains Language Models to do High School Math 8:25 – Sam Altman says Neural Networks truly learn 9:35 – Google AI researchers frustrated with […]

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AI Natural Language Processing

[ML News] New ImageNet SOTA | Uber’s H3 hexagonal coordinate system | New text-image-pair dataset

Yannic provides the latest news in machine learning in this video. Time Stamps: 0:00 – Intro 0:20 – TruthfulQA benchmark shines new light on GPT-3 2:00 – LAION-400M image-text-pair dataset 4:10 – GoogleAI’s EfficientNetV2 and CoAtNet 6:15 – Uber’s H3: A hexagonal coordinate system 7:40 – AWS NeurIPS 2021 DeepRacer Challenge 8:15 – Helpful Libraries […]

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Science

The Super Bizarre Quantum Eraser Experiment

The quantum eraser experiment is one of the weirdest phenomena that has ever been observed and will melt your mind.  It seems that quantum mechanics mixes past and future together. In this video, Fermilab’s Dr. Don take you through this quantum conundrum.

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AI Interesting Research

PonderNet: Learning to Ponder

Humans don’t spend the same amount of mental effort on all problems equally. Instead, we respond quickly to easy tasks, and we take our time to deliberate hard tasks. DeepMind’s PonderNet attempts to achieve the same by dynamically deciding how many computation steps to allocate to any single input sample. This is done via a […]

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AI Research

Why AI is Harder Than We Think

Yannic Kilcher  explains how the AI community has gone through regular cycles of AI Springs, where rapid progress gave rise to massive overconfidence, high funding, and overpromise, followed by these promises being unfulfilled, subsequently diving into periods of disenfranchisement and underfunding, called AI Winters. This video he explores a paper which examines the reasons for […]

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AI Research

GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton’s Paper Explained)

Yannic Kilcher covers a paper where Geoffrey Hinton describes GLOM, a Computer Vision model that combines transformers, neural fields, contrastive learning, capsule networks, denoising autoencoders and RNNs. GLOM decomposes an image into a parse tree of objects and their parts. However, unlike previous systems, the parse tree is constructed dynamically and differently for each input, […]

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