Posted by Fitsum Reda and Janne Kontkanen, Google Research Frame interpolation is the process of synthesizing in-between images from a…
Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from…
Creating robust and reusable machine learning (ML) pipelines can be a complex and time-consuming process. Developers usually test their processing…
Planes taxiing for long periods due to ground traffic — or circling the airport while awaiting clearance to land —…
A central issue in machine learning is how to train models on sensitive user data. Industry has widely adopted a…
Cross-device federated learning is an emerging machine learning (ML) paradigm where a large population of devices collectively train an ML…
Online commercial app marketplaces serve millions of apps to billions of users in an efficient manner. Bandit optimization algorithms are…
A functional data ecosystem must incorporate notions of Ontology in order to be scalable and sustainable.Editor’s note: This is the…
This series tackles the rarely simple and often messy solicitation process. We explore how organizations can better evaluate digital transformation…