Favorite Extracting highlights from a video is a time-consuming and complex process. In this post, we provide a new take on instant replay for sporting events using a machine learning (ML) solution for automatically creating video highlights from original video content. Video highlights are then available for download so that
Favorite Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. When you translate from one language to another, you want your machine translation to be accurate, fluent, and most importantly contextual. Customization is key in keeping your machine translation contextual. Amazon Translate
Favorite Whether you are developing a machine learning (ML) model for reducing operating cost, improving efficiency, or improving customer satisfaction, there are no perfect solutions when it comes to producing an effective model. From an ML development perspective, data scientists typically go through stages of data exploration, feature engineering, model
Favorite Organizations are continuing to evaluate remote working arrangements and explore moving to a hybrid workforce model. Emerging trends suggest that not only has the number of online meetings attended by employees on a day-to-day basis increased, but also the number of attendees per meeting. One of the key challenges
Favorite The fields of natural language processing (NLP), natural language understanding (NLU), and related branches of machine learning (ML) for text analysis have rapidly evolved to address use cases involving text classification, summarization, translation, and more. State-of-the art, general-purpose architectures such as transformers are making this evolution possible. Looking at
Favorite Eastern Australia is among the most fire-prone regions in the world. Although bushfires are a regular occurrence in Australia, the 2019–2020 bushfire crisis set ablaze over 17 million hectares of land (larger than the size of England), costing the Australian economy more than $100 billion between property, infrastructure, social,
Favorite Machine learning (ML) and deep learning (DL) are becoming effective tools for solving diverse computing problems, from image classification in medical diagnosis, conversational AI in chatbots, to recommender systems in ecommerce. However, ML models that have specific latency or high throughput requirements can become prohibitively expensive to run at
Favorite For millions of people, being able to speak and be understood can be difficult as a result of conditions that can impact speech, including stroke, ALS, Cerebral Palsy, traumatic brain injury or Parkinson’s disease. Today, we’re inviting an initial group of people to test Project Relate, a new Android
Favorite In 2018 we began our flood forecasting initiative to help combat the catastrophic damage from floods each year by equipping those in harm’s way with accurate and detailed alerts. This work is a part of Google’s broader Crisis Response program which provides people access to trusted information and resources
Favorite Knowledge and information are part of a continuum but not the same, and knowledge problems cannot be solved with information tools alone. Image from wikimedia commons Often a client comes to us and says something like “We have a Knowledge Management problem. Our project teams can’t find the knowledge