Episode 3: Life is like a game

Video games have become a favourite tool for AI researchers to test the abilities of their systems. Why?Read More

Related Google News:

The life-changing magic of making with ML February 17, 2021
Multicloud analytics powers queries in life sciences, agritech and more December 21, 2020
2020: The new normals of daily life December 9, 2020
YouTube Reveals the Top Videos of 2020: Canadians watched to learn, game, and find joy December 1, 2020
New tools for a healthier, more active life November 17, 2020
Duplex is getting smarter and making life a little easier October 15, 2020
Why build apps on a cloud-native database like MongoDB Atlas? October 1, 2020
Google named a leader in the 2020 Gartner Magic Quadrant for Full Life Cycle API Management September 28, 2020

August 19, 2019

AI / Google

Google AIFollow

Google AI@GoogleAI·

#MediaPipe BlazePose and Holistic go 3D! Trained specifically for fitness/yoga, our updated models enable custom pose classification (https://solutions.mediapipe.dev/pose) with real-time performance on mobile and browser! Read more about Holistic in our December post→ https://goo.gle/37aVUip

Reply on Twitter 1366438122486067202 Retweet on Twitter 136643812248606720251 Like on Twitter 1366438122486067202203 Twitter 1366438122486067202

Google AI@GoogleAI·

25 Feb

Lyra is a new high-quality, very low-bitrate speech codec that leverages advances in #MachineLearning to make voice communication possible even on the slowest networks. Read all about it below: http://goo.gle/3ksSSLl

Reply on Twitter 1365047309990387713 Retweet on Twitter 1365047309990387713191 Like on Twitter 1365047309990387713714 Twitter 1365047309990387713

Google AI@GoogleAI·

23 Feb

Today we present the technology behind the new Cinematic photos feature in Google Photos, where #MachineLearning is used to add simulated camera motion and parallax to a single-frame still photo, transforming a 2D photo into a more immersive 3D scene. https://goo.gle/3aKeRKr

Reply on Twitter 1364304272519663625 Retweet on Twitter 1364304272519663625196 Like on Twitter 1364304272519663625836 Twitter 1364304272519663625

Google AI@GoogleAI·

19 Feb

We are excited to announce the release of Model Search, an open-source, domain-agnostic #AutoML platform that helps researchers to efficiently and automatically develop optimal #MachineLearning models. Learn more at http://goo.gle/3dtl2o5

Reply on Twitter 1362841864622104576 Retweet on Twitter 1362841864622104576481 Like on Twitter 13628418646221045761385 Twitter 1362841864622104576

Google AI@GoogleAI·

18 Feb

Presenting DreamerV2, the first world model-based #ReinforcementLearning agent to achieve top-level performance on the Atari benchmark, learning general representations from images to discover successful behaviors in latent space. Read more at http://goo.gle/3ub8iZe

Reply on Twitter 1362481603759407105 Retweet on Twitter 1362481603759407105275 Like on Twitter 13624816037594071051049 Twitter 1362481603759407105

Google AI@GoogleAI·

16 Feb

Can models more efficiently learn rearrangement tasks by overlaying 3D space instead of using object-centric representations? Check out Transporter Nets, an open-source framework for sample-efficient robot manipulation, with related benchmark tasks. See ↓ http://goo.gle/37k9KOW

Reply on Twitter 1361755599994724353 Retweet on Twitter 1361755599994724353147 Like on Twitter 1361755599994724353602 Twitter 1361755599994724353

Google AI@GoogleAI·

11 Feb

Announcing the release of TensorFlow 3D, a set of training and evaluation pipelines for state-of-the-art 3D semantic segmentation, object detection and instance segmentation, with support for distributed training. Check it out and download the code at http://goo.gle/3pchcSG

Reply on Twitter 1359988849045164032 Retweet on Twitter 1359988849045164032343 Like on Twitter 13599888490451640321145 Twitter 1359988849045164032

Google AI@GoogleAI·

11 Feb

Introducing the CATS4ML Data Challenge, a competition to identify “unknown unknowns”, data classes that are difficult for #ML models to evaluate due to the lack of real-world examples in training data. Learn more and join the challenge ↓ http://goo.gle/3tQvWKs

Reply on Twitter 1359951245075566592 Retweet on Twitter 135995124507556659288 Like on Twitter 1359951245075566592278 Twitter 1359951245075566592

Google AI@GoogleAI·

5 Feb

Introducing TracIn, a simple, scalable approach to understand the influence of training data on #MachineLearning models by tracing the changes in prediction as individual training examples are visited during the training process. Learn all about it below: https://goo.gle/3jkclgT

Reply on Twitter 1357766939855048704 Retweet on Twitter 1357766939855048704231 Like on Twitter 1357766939855048704644 Twitter 1357766939855048704

Google AI@GoogleAI·

4 Feb

Check out new work on ML-driven design and exploration of custom accelerators, showing how #MachineLearning facilitates architecture exploration by rapidly identifying high-performing configurations across a range of applications. Learn more ↓ http://goo.gle/3rngiEh

Reply on Twitter 1357398464863166465 Retweet on Twitter 1357398464863166465140 Like on Twitter 1357398464863166465398 Twitter 1357398464863166465