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When a critical asset like an expensive piece of machinery or infrastructure breaks unexpectedly, it affects customers and can cost companies millions. To be successful, businesses need to have clear, real-time visibility into the condition of their assets and a plan to keep them running smoothly and make repairs quickly when things break. Enterprises are …
Posted by Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google Deep learning has recently driven tremendous progress in a wide array of applications, ranging from realistic image generation and impressive retrieval systems to language models that can hold human-like conversations. While this progress is very exciting, the widespread use of deep neural network models requires …
Read more “Announcing the first Machine Unlearning Challenge”
Organizations are continuously investing time and effort in developing intelligent recommendation solutions to serve customized and relevant content to their users. The goals can be many: transform the user experience, generate meaningful interaction, and drive content consumption. Some of these solutions use common machine learning (ML) models built on historical interaction patterns, user demographic attributes, …
Read more “Recommend and dynamically filter items based on user context in Amazon Personalize”
As pet owners, we all want to make sure our pets are happy and healthy. But with so many different products and services competing for our attention, it can be overwhelming to decide which ones are best. That’s whereWoof comes in. We are on a mission to revolutionize the pet industry by providing the best …
Read more “Of barks and bots: Woof revolutionizes pet care with AI chatbot powered by Google Cloud”
*=Equal Contributors Providing voice assistants the ability to navigate multi-turn conversations is a challenging problem. Handling multi-turn interactions requires the system to understand various conversational use-cases, such as steering, intent carryover, disfluencies, entity carryover, and repair. The complexity of this problem is compounded by the fact that these use-cases mix with each other, often appearing …
We are excited to announce OpenAI’s first international expansion with a new office in London, United Kingdom.
Slow productivity can be defined as working at a slower pace on fewer tasks at a time to increase workplace productivity and satisfaction. The trend toward slow productivity is for businesses and employees to rethink what productivity looks like and create an environment where quality of work is emphasized over quantity of work. In his …
Public health organizations have a wealth of data about different types of diseases, health trends, and risk factors. Their staff has long used statistical models and regression analyses to make important decisions such as targeting populations with the highest risk factors for a disease with therapeutics, or forecasting the progression of concerning outbreaks. When public …
When making financial decisions, it’s important to look at the big picture — say, one taken from a drone, satellite or AI-powered sensor. The emerging field of spatial finance harnesses AI insights from remote sensors and aerial imagery to help banks, insurers, investment firms and businesses analyze risks and opportunities, enable new services and products, …
In the cloud era, a compute cluster that once took months to build out can now be created and ready to use in minutes. In this blog post, we will discuss all pieces that come together to make this near-instant infrastructure a reality. From there, we will show how this infrastructure and file system fulfills …