The latest blog posts to take off on Hacker News. 3,242 posts.
MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), in collaboration with Ava Robotics and the Greater Boston Food Bank, designed a robot that disinfects surfaces and neutralizes aerosolized coronavirus with UV-C light. The approach uses a custom UV-C light fixture designed at CSAIL that is…
TaBERT is the first model that has been pretrained to learn representations for both natural language sentences and tabular data.
Real-time rendering in virtual reality presents a unique set of challenges — chief among them being the need to support...
An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs).
Tracking brainwave patterns and symptoms in patients with depression, researchers used artificial intelligence to predict best treatment options.
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…
We’re implementing a one-year moratorium on police use of Amazon’s facial recognition technology. We will continue to allow organizations like Thorn, the International Center for Missing and Exploited Children, and Marinus Analytics to use Amazon Rekognition to help rescue human trafficking victims…
YOLOv5 license and commercial-use guide: AGPL-3.0 terms, specs, resources, and alternatives. Compare YOLOv5 against other vision models free.
We have many conversations with companies and organizations who are deciding between building their own feature store and buying one....
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....
Posted by James Wexler, Software Engineer, Google AI Building effective machine learning (ML) systems means asking a lot of questions. It's not eno...
Text-to-speech systems across the industry typically rely on GPUs or specialized hardware to generate state-of-the-art speech in real-time production. We solved core efficiency challenges to process one second of audio in 500 milliseconds — using only CPUs.
NVIDIA Corporate Blog Post Archive
This post is about the seventh and final video in this series, Denoising for Ray Tracing.
MIT researchers have proposed a technique for shrinking deep learning models that they say is simpler and produces more accurate results than state-of-the-art methods. It works by retraining the smaller, pruned model at its faster, initial learning rate.
Posted by Thomas Müller, Software Engineer, Google Research Much of the world’s information is stored in the form of tables, which can be found o...
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We’re releasing the model weights and code, along with a tool to explore the generated samples.
What is MLOps?
Researchers in the Microsoft Speech and Dialog Research Group have made an ad hoc microphone array by allowing meeting participants to join their phones together to enable more accurate meeting transcriptions. Explore how this array outperforms a single-device system.
Today, we’re announcing the availability of PyTorch 1.5, along with new and updated libraries. This release includes several major new API additions and improvements. PyTorch now includes a significant update...
The complete guide on how to build an end-to-end Speech Recognition model in PyTorch. Train your own CTC Deep Speech model using this tutorial.
Making a game where your enemies need to chase the player? This starts out easy, make the enemy run towards the player! But what happen...
At this critical time in the modern history of the human race, mathematical models have been pushed into the foreground. Epidemic forecasting informs policy and even individual decision-making. Sad…
Silver, a professor at University College London and Principal Research Scientist at DeepMind, is recognized as a central figure in the growing and impactful area of deep reinforcement learning, leading the team that developed AlphaGo.
