DeepLearning.AI

Diffusion Transformed: A new class of diffusion models based on the transformer architecture

A tweak to diffusion models, which are responsible for most of the recent excitement about AI-generated images, enables them to produce more realistic output.

U-Net

Diffusion Transformed: A new class of diffusion models based on the transformer architecture

A tweak to diffusion models, which are responsible for most of the recent excitement about AI-generated images, enables them to produce more realistic output.

U-Net

Stratego Master: DeepNash, the RL system that plays Stratego like a master

Reinforcement learning agents have mastered games like Go that provide complete information about the state of the game to players. They’ve also excelled at Texas Hold ’Em poker, which provides incomplete information, as few cards are revealed.

U-Net

Stratego Master: DeepNash, the RL system that plays Stratego like a master

Reinforcement learning agents have mastered games like Go that provide complete information about the state of the game to players. They’ve also excelled at Texas Hold ’Em poker, which provides incomplete information, as few cards are revealed.

U-Net

Like Diffusion but Faster: The Paella model for fast image generation, explained

The ability to generate realistic images without waiting would unlock applications from engineering to entertainment and beyond. New work takes a step in that direction.

U-Net

Like Diffusion but Faster: The Paella model for fast image generation, explained

The ability to generate realistic images without waiting would unlock applications from engineering to entertainment and beyond. New work takes a step in that direction.

U-Net

The Dark Side of the Moon — Lit Up! AI Illuminates Dark Regions of the Moon

Neural networks are making it possible to view parts of the Moon that are perpetually shrouded by darkness. Researchers devised a method called Hyper-effective Noise Removal U-net Software (HORUS) to remove noise from images of the Moon’s south pole.

U-Net

The Dark Side of the Moon — Lit Up! AI Illuminates Dark Regions of the Moon

Neural networks are making it possible to view parts of the Moon that are perpetually shrouded by darkness. Researchers devised a method called Hyper-effective Noise Removal U-net Software (HORUS) to remove noise from images of the Moon’s south pole.

U-Net

Text to Video Without Text-Video Training Data: Make-A-Video, an AI System from Meta, Generates Video from Text

Text-to-image generators like DALL·E 2, Midjourney, and Stable Diffusion are winning art contests and worrying artists. A new approach brings the magic of text-to-image generation to video.

U-Net

Text to Video Without Text-Video Training Data: Make-A-Video, an AI System from Meta, Generates Video from Text

Text-to-image generators like DALL·E 2, Midjourney, and Stable Diffusion are winning art contests and worrying artists. A new approach brings the magic of text-to-image generation to video.

U-Net

Fake Faces Are Good Training Data: Synthetic data improves face recognition performance.

Collecting and annotating a dataset of facial portraits is a big job. New research shows that synthetic data can work just as well.

U-Net

Fake Faces Are Good Training Data: Synthetic data improves face recognition performance.

Collecting and annotating a dataset of facial portraits is a big job. New research shows that synthetic data can work just as well.

U-Net

Deciphering The Brain’s Visual Signals: AI uses brain activity to create images.

What’s creepier than images from the sci-fi TV series Doctor Who? Images generated by a network designed to visualize what goes on in peoples’ brains while they watch Doctor Who.

U-Net

Deciphering The Brain’s Visual Signals: AI uses brain activity to create images.

What’s creepier than images from the sci-fi TV series Doctor Who? Images generated by a network designed to visualize what goes on in peoples’ brains while they watch Doctor Who.

U-Net

More Data for Medical AI: AI recognizes medical scans without iodine dye.

Convolutional neural networks are good at recognizing disease symptoms in medical scans of patients who were injected with iodine-based dye, that makes their organs more visible. But some patients can’t take the dye. Now synthetic scans from a GAN are helping CNNs learn to analyze undyed images.

U-Net

Diffusion Transformed: A new class of diffusion models based on the transformer architecture

Diffusion Transformed: A new class of diffusion models based on the transformer architecture

Stratego Master: DeepNash, the RL system that plays Stratego like a master

Stratego Master: DeepNash, the RL system that plays Stratego like a master

Like Diffusion but Faster: The Paella model for fast image generation, explained

Like Diffusion but Faster: The Paella model for fast image generation, explained

The Dark Side of the Moon — Lit Up! AI Illuminates Dark Regions of the Moon

The Dark Side of the Moon — Lit Up! AI Illuminates Dark Regions of the Moon

Text to Video Without Text-Video Training Data: Make-A-Video, an AI System from Meta, Generates Video from Text

Text to Video Without Text-Video Training Data: Make-A-Video, an AI System from Meta, Generates Video from Text

Fake Faces Are Good Training Data: Synthetic data improves face recognition performance.

Fake Faces Are Good Training Data: Synthetic data improves face recognition performance.

Deciphering The Brain’s Visual Signals: AI uses brain activity to create images.

Deciphering The Brain’s Visual Signals: AI uses brain activity to create images.

More Data for Medical AI: AI recognizes medical scans without iodine dye.

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