We explore the history of image unblurring and present a simple yet effective technique to get a high-resolution image from a pixelated video in order to recover redacted information (with no guessing involved).
We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.
Announcing GPT-NeoX-20B, a 20 billion parameter model trained in collaboration with CoreWeave.
Cloud TPU VMs with Ranking & Recommendation acceleration are generally available on Google Cloud. Customers will have direct access to TPU host machines.
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Roon guest-authors a post on large language models and the future of computing.
Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems....
We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.
Posted by Yundi Qian, Software Engineer, Google Research and Mircea Trofin, Software Engineer, Google Core The question of how to compile faster an...
As the Faculty of Computing and Information Science celebrates its 20th year, Frank Rosenblatt’s prescient research into artificial intelligence underscores Cornell’s pivotal role in computing history.
Are popular toxicity models simply profanity detectors? We show how toxicity models overweight profanity, and make mistakes when profanity is used in a positive way.
Our work aims to break down language barriers across the world for everyone to understand and communicate with anyone—no matter what language they speak.
Copilot may be a glimpse into the future of AI, but it comes with a lot of legal and security baggage.
Machine Learning has made huge strides in the last few decades, but it remains largely inaccessible to the average developer. This post examines some of the reasons why.
Doing small network scientific machine learning in Julia 5x faster than PyTorch ...
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The model itself builds upon the work of the team at CompVis and Runway in their widely used latent diffusion model combined with insights from the conditional diffusion models by our lead generative AI developer Katherine Crowson, Dall-E 2 by Open AI, Imagen by Google Brain and many others. We are
Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the entire Google Research community Over the last several decades, I'v...
Get an introduction into the thinking behind the rise of neural hashing technology — and learn why this may end up being an enormous shift in AI advancement.
FEATURED NEWS California NanoSystems Institute > Featured News > August 15, 2022 | AI-designed camera only records objects of interest while being blind to others AI-designed camera only records objects of interest while being blind to others To image, or not to image: Class-specific diffractive cameras with…
MASSIVE dataset and Massively Multilingual NLU (MMNLU-22) competition and workshop will help researchers scale natural-language-understanding technology to every language on Earth.
We present a dataset of 5,85 billion CLIP-filtered image-text pairs, 14x bigger than LAION-400M, previously the biggest openly accessible image-text dataset…
Meet Amazon Science’s newest research area.
What is Differentiable Programming, and how is it different from Deep Learning? Check out this introduction to learn everything you need to know!
A AMD oferece soluções de computação adaptativa e de alto desempenho de liderança para promover IA de data center, PCs com IA, dispositivos de borda inteligentes, jogos e muito mais.
