Picture a tall stately grandfather clock, its long pendulum swinging back and forth, over and again, keeping rhythm with the time. Scientists can describe that motion with an equation, or dynamical model, and though there are seemingly hundreds of factors contributing to the sway, (the weight of the clock, the material of the pendulum, ad …
A pair of researchers, one with Gymnasium of Johannes Kepler, the other with the University of California, Berkley, has developed an artificial intelligence (AI) application capable of determining whether a video clip of a famous person is genuine or a deepfake.
Posted by Krishna Giri Narra, Software Engineer, Google, and Chiyuan Zhang, Research Scientist, Google Research Ad technology providers widely use machine learning (ML) models to predict and present users with the most relevant ads, and to measure the effectiveness of those ads. With increasing focus on online privacy, there’s an opportunity to identify ML algorithms …
Posted by Malaya Jules, Program Manager, Google This week, the premier conference on Empirical Methods in Natural Language Processing (EMNLP 2022) is being held in Abu Dhabi, United Arab Emirates. We are proud to be a Diamond Sponsor of EMNLP 2022, with Google researchers contributing at all levels. This year we are presenting over 50 …
In previous blog post, we described an end-to-end identity verification solution in a single AWS Region. The solution uses the Amazon Rekognition APIs DetectFaces for face detection and CompareFaces for face comparison. We think of those APIs as stateless APIs because they don’t depend on an Amazon Rekognition face collection. They’re also idempotent, meaning repeated …
Read more “Improve scalability for Amazon Rekognition stateless APIs using multiple regions”
The success of any machine learning (ML) pipeline depends not just on the quality of model used, but also the ability to train and iterate upon this model. One of the key ways to improve an ML model is by choosing better tunable parameters, known as hyperparameters. This is known as hyperparameter optimization (HPO). However, …
Editor’s note: This post is part of an ongoing series on IT predictions from Google Cloud experts. Check out the full list of our predictions on how IT will change in the coming years. Prediction: AI will be the primary driver for moving to a 4-day work week Enterprise use of artificial intelligence (AI) has …
Read more “IT prediction: AI could help realize the dream of the four-day work week”
Training, testing and validating autonomous vehicles requires a continuous pipeline — or data factory — to introduce new scenarios and refine deep neural networks. A key component of this process is simulation. AV developers can test a virtually limitless number of scenarios, repeatably and at scale, with high-fidelity, physically based simulation. And like much of …
Read more “Hittin’ the Sim: NVIDIA’s Matt Cragun on Conditioning Autonomous Vehicles in Simulation”
Today Google announced a beta release of Simple ML for Sheets, which allows users without ML experience to try ML out on their spreadsheets.Read More
Deloitte’s 14th annual Tech Trends report, released today, focused on interaction, information and computation, but also trust.Read More