Two Minute Papers

AI Computer Vision

OpenAI’s ChatGPT Fell For This Illusion! But Why?

This video is from Two Minute Papers.

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AI Privacy Research

Artificial Intelligence Learned to Read Your Mind

In this video Anastasi In Tech discusses new AI Research which retrained Stable Diffusion to reconstruct images from brain. This is sure to have far reaching privacy implications that we cannot yet even imagine. The paper: https://www.biorxiv.org/content/10.1101/2022.11.18.517004v3.full.pdf Support me on Patreon: https://www.patreon.com/AnastasiInTech

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AI Natural Language Processing Research

This New ChatGPT Competitor is Amazing !

Anastasi In Tech discuss New ChatGPT rival Claude developed by startup Anthropic AI

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Deep Fakes Generative AI

This New AI Makes DeepFakes for Animation Movies! 🧑‍🎨

Two Minute Papers examines the paper “Stitch it in Time: GAN-Based Facial Editing of Real Videos” in the video below. Chapters 00:00 Intro 00:23 This new work is different 00:50 Obama speech reimagined 01:26 Temporal coherence 02:41 Not perfect 02:56 A DeepFake of … me! 03:58 It works on animated characters too 04:30 So much […]

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AI Research

Is OpenAI’s AI As Smart As A University Student? 🤖

Two Minute Papers examines the following papers: Grade school math: https://openai.com/blog/grade-school-math/ University level math: https://arxiv.org/abs/2112.15594 Olympiad: https://openai.com/blog/formal-math/

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AI Generative AI

NVIDIA’s New AI: Superb Details, Super Fast!

Two Minute Papers examines the paper “Multimodal Conditional Image Synthesis with Product-of-Experts GANs” in this video.

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AI

Next Level Paint Simulations Are Coming

Two Minute Papers examines the paper “Practical Pigment Mixing for Digital Painting” in the following video.

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AI Research

The First AI Hair Salon?!

Two Minute Papers examines the paper “SketchHairSalon: Deep Sketch-based Hair Image Synthesis” in the following video.

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AI Research

NCsoft’s New AI: The Ultimate Stuntman!

Can AI make the ultimate stuntman? Find out when Two Minute Papers examines “Learning Time-Critical Responses for Interactive Character Control”

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