Google AI

Generative AI

Google’s New AI: DALL-E, But Now In 3D! 🤯

Two Minute Papers explores the paper “DreamFusion: Text-to-3D using 2D Diffusion” in the following video.

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AI Generative AI

Google’s New AI: Fly INTO Photos! 🐦

Two Minute Papers explores the paper “Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image” in the following video.

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AI Google

Is Google’s New AI As Smart As A Human? 🤖

Two Minute Papers examines The paper “Minerva – Solving Quantitative Reasoning Problems with Language Models” in the following video.

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AI

The truth about AI and why you should learn it – Computerphile explains

If you are into cybersecurity or any other field, you probably want to learn about AI and ML. They can really help your resume and help you increase the income you earn. AI just become Sentient? And will it take your job? Or is AI just a fantastic opportunity for you to get a better […]

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AI Generative AI

Google’s Imagen AI id Outrageously Good! 🤖

Two Minute Papers examines  the paper “Imagen: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding” in the following video.

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AI Research

DeepMind’s New AI Learns From Humans! 🤖

Two Minute Papers highlights the paper “Learning Robust Real-Time Cultural Transmission without Human Data” in the following video.

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Uncategorized

TOP 5 Artificial Intelligences of 2022

Every day is a day closer to the Technological Singularity or another ethical conundrum about AI. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.

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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 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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