Étiquette : deep learning (Page 1 of 8)

NeRF Research Turns 2D Photos Into 3D Scenes

“When the first instant photo was taken 75 years ago with a Polaroid camera, it was groundbreaking to rapidly capture the 3D world in a realistic 2D image. Today, AI researchers are working on the opposite: turning a collection of still images into a digital 3D scene in a matter of seconds. Known as inverse rendering, the process uses AI to approximate how light behaves in the real world, enabling researchers to reconstruct a 3D scene from a handful of 2D images taken at different angles. The NVIDIA Research team has developed an approach that accomplishes this task almost instantly — making it one of the first models of its kind to combine ultra-fast neural network training and rapid rendering.”

Source : NeRF Research Turns 2D Photos Into 3D Scenes | NVIDIA Blog

Predicting sex from retinal fundus photographs using automated deep learning

Figure 2

“Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. Herein we present the development of a deep learning model by clinicians without coding, which predicts reported sex from retinal fundus photographs. A model was trained on 84,743 retinal fundus photos from the UK Biobank dataset. External validation was performed on 252 fundus photos from a tertiary ophthalmic referral center.”

Source : Predicting sex from retinal fundus photographs using automated deep learning | Scientific Reports

“There have been several AI breakthroughs to-date, including AI agents that have mastered arcade games, complex strategy games such as chess, shogi and Go as well as other real-time, multiplayer strategy games. GT Sophy takes game AI to the next level, tackling the challenge of a hyper-realistic simulator by mastering real-time control of vehicles with complex dynamics, all while operating within inches of opponents.”

Source : PROJECT | Gran Turismo Sophy

which face is real

“Which Face Is Real has been developed by Jevin West and Carl Bergstrom at the University of Washington as part of the Calling Bullshit project. All images are either computer-generated from thispersondoesnotexist.com using the StyleGAN software, or real photographs from the FFHQ dataset of Creative Commons and public domain images. License rights notwithstanding, we will gladly respect any requests to remove specific images; please send the URL of the results pages showing the image in question.”

Source : Which Face Is Real?

“Harness the power of AI to quickly turn simple brushstrokes into realistic landscape images for backgrounds, concept exploration, or creative inspiration. 🖌️ The NVIDIA Canvas app lets you create as quickly as you can imagine.”

via NVIDIA Studio

https://lh3.googleusercontent.com/KKbgSsS1qIoesiy2Ws_WDsDSyGhTZgP9W3qZr-xS5ElnafEu80joptKmc2hgz01a6j6yIj5cvCnqz8bBfXG8BND44ZKJ_kv7tTHQAA=w2048-rw-v1

“This computational work represents a stunning advance on the protein-folding problem, a 50-year-old grand challenge in biology. It has occurred decades before many people in the field would have predicted. It will be exciting to see the many ways in which it will fundamentally change biological research”.

Professor Venki Ramakrishnan – Nobel Laureate and President of the Royal Society

“We trained this system on publicly available data consisting of ~170,000 protein structures from the protein data bank together with large databases containing protein sequences of unknown structure. It uses approximately 16 TPUv3s (which is 128 TPUv3 cores or roughly equivalent to ~100-200 GPUs) run over a few weeks, a relatively modest amount of compute in the context of most large state-of-the-art models used in machine learning today.”

Source : AlphaFold: a solution to a 50-year-old grand challenge in biology | DeepMind

Image GPT

“We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that our best generative model also contains features competitive with top convolutional nets in the unsupervised setting.”

Source : Image GPT

“NVIDIA Maxine is a fully accelerated platform SDK for developers of video conferencing services to build and deploy AI-powered features that use state-of-the-art models in their cloud. Video conferencing applications based on Maxine can reduce video bandwidth usage down to one-tenth of H.264 using AI video compression, dramatically reducing costs.”

Source : NVIDIA Maxine Video Conferencing Platform | NVIDIA Developer

“Twitter it was looking into why the neural network it uses to generate photo previews apparently chooses to show white people’s faces more frequently than Black faces. Several Twitter users demonstrated the issue over the weekend, posting examples of posts that had a Black person’s face and a white person’s face. Twitter’s preview showed the white faces more often.”

Source : Twitter is looking into why its photo preview appears to favor white faces over Black faces – The Verge

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