Artificial Intelligence

AI Research News

Discover the latest AI research & find out how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy, all thanks to expert articles that include discussion on the potential, limits and consequences of AI.

Top news of the week: 28.09.2022.

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Computer vision

@Miles_Brundage shared
On Sep 23, 2022
RT @DeepMind: Large language models can exhibit falsehoods, discriminatory language, and other unsafe behaviour. Introducing Sparrow: a dialogue agent that can search the internet and is trained to be more helpful, correct, and harmless using RL from human feedback: https://t.co/8VtsFjuGcm 1/ https://t.co/Ia4zCg7oPL
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Building safer dialogue agents

Building safer dialogue agents

In our latest paper, we introduce Sparrow – a dialogue agent that’s useful and reduces the risk of unsafe and inappropriate answers. Our agent is designed to talk with a user, answer ...

@NandoDF shared
On Sep 26, 2022
RT @DeepMind: We’re partnering with six education charities and social enterprises to co-create a bespoke pre-university programme to help tackle the gaps in #STEM education. @Raspberry_Pi @Stemettes @STEMLearningUK @BrilliantClub @BritSciAssoc @AppsforGood Learn ➡️https://t.co/oUxcPY4EFZ https://t.co/AfEHq3idxx
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Supporting the next generation of AI leaders

Supporting the next generation of AI leaders

We’re partnering with six education charities and social enterprises in the United Kingdom (UK) to co-create a bespoke education programme to help tackle the gaps in STEM education and ...

@hardmaru shared
On Sep 24, 2022
RT @jeremyphoward: Big news: signups for our new course "From Deep Learning Foundations to Stable Diffusion" are now available. (And if you're an open source contributor, you can apply for a scholarship to join for free!) https://t.co/7vWdlZXeUa
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Deep Learning Foundations Signup, Open Source Scholarships, & More

Deep Learning Foundations Signup, Open Source Scholarships, & More

Signups are now open for Practical Deep Learning for Coders Part 2, 2022. Scholarships are available for fast.ai community contributors, open source developers, and diversity scholars.

@hardmaru shared
On Sep 28, 2022
RT @fchollet: Stable Diffusion is now available directly in KerasCV! And it's fast: 30% faster than the PyTorch version for a batch of 3 images on the NVIDIA T4 GPU (which is the GPU you typically get on Colab). Try it out: https://t.co/a7lFP8kIBv https://t.co/EnnRGmUmo1
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@_rockt shared
On Sep 22, 2022
RT @forai_ml: An exciting day for https://t.co/dwc26W1mt5! We believe in changing where, how, and by whom research is done. Today we launch our Scholars Program — an opportunity to work with some of the best researchers in the world. Your journey starts here. https://t.co/8XyoAzycWC
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Introducing the Cohere For AI Scholars Program: Your Research Journey Starts Here

Introducing the Cohere For AI Scholars Program: Your Research Journey Starts Here

We're excited to announce our Scholars Program, inviting a class of emerging talent to work alongside our team – exploring the unknown, together. If you're looking for an opportunity to ...

@jeremyphoward shared
On Sep 27, 2022
Chapter 1 is an introduction to the amazing world of neural networks and deep learning, and shows how to train and use a neural net for many applications across vision, language, tabular analysis, and collaborative filtering. https://t.co/vcZqInEEys
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Your Deep Learning Journey

Your Deep Learning Journey

Hello, and thank you for letting us join you on your deep learning journey, however far along that you may be!

@jeremyphoward shared
On Sep 27, 2022
Chapter 4 explains how things really work behind the scenes, using Stochastic Gradient Descent (SGD). We show how to create a complete digit classifier from scratch, using the famous MNIST dataset. https://t.co/gQ7U2oLwws
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Under the Hood: Training a Digit Classifier

Under the Hood: Training a Digit Classifier

Having seen what it looks like to actually train a variety of models in Chapter 2, let’s now look under the hood and see exactly what is going on.

@jeremyphoward shared
On Sep 27, 2022
Chapter 14 discusses a key improvement over the basic CNN: Resnets, and the Residual Block. These are used everywhere in modern networks, and there's a lot of little details to get right to make the work well. We build up to a modern ResBlock step by step. https://t.co/1BhVAgRzf3
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ResNets

ResNets

In this chapter, we will build on top of the CNNs introduced in the previous chapter and explain to you the ResNet (residual network) architecture. It was introduced in 2015 by Kaiming He ...