Earlier this month, I had the opportunity to join public sector leaders to discuss a topic that is top of mind for everyone – generative AI. At our Generative AI Live + Labs event in Washington DC, we shared how this technology is already revolutionizing our lives in how we live and work. In government, …
A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.
Introducing Robotic Transformer 2 (RT-2), a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control, while retaining web-scale capabilities. This work builds upon Robotic Transformer 1 (RT-1), a model trained on multi-task demonstrations which can learn combinations of tasks and objects seen …
Read more “RT-2: New model translates vision and language into action”
Every month, the National Institute of Standards and Technology (NIST) adds over 2,000 new security vulnerabilities to the National Vulnerability Database. Security teams don’t need to track all of these vulnerabilities, but they do need a way to identify and resolve the ones that pose a potential threat to their systems. That’s what the vulnerability …
In this blog post, we’re going to show you how to use two technologies together: The generative AI functionality in Google Cloud Vertex AI, an ML development platform, and Neo4j, a graph database. Together these technologies can be used to build and interact with knowledge graphs. The code underlying this blog post is available here. …
Artificial intelligence is disrupting many different areas of business. The technology’s potential is particularly apparent in customer service, talent, and application modernization. According to IBM’s Institute of Business Value (IBV), AI can contain contact center cases, enhancing customer experience by 70%. Additionally, AI can increase productivity in HR by 40% and in application modernization by …
Read more “Scale knowledge management use cases with generative AI”
From smart factories to next-generation railway systems, developers and enterprises across the world are racing to fuel industrial digitalization opportunities at every scale. Key to this is the open-source Universal Scene Description (USD) framework, or OpenUSD, along with metaverse applications powered by AI. OpenUSD, originally developed by Pixar for large-scale feature film pipelines for animation …
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We’re forming a new industry body to promote the safe and responsible development of frontier AI systems: advancing AI safety research, identifying best practices and standards, and facilitating information sharing among policymakers and industry.
Zero-Based Budgeting (ZBB) is like solving a financial puzzle. Instead of relying on the previous year’s budget, ZBB requires you to evaluate and justify every expense from the ground up, justifying its necessity and alignment with strategic goals. It’s like starting with a blank canvas and carefully selecting each budget item based on its value …
Posted by Eleni Triantafillou, Research Scientist, and Malik Boudiaf, Student Researcher, Google Deep learning has recently made tremendous progress in a wide range of problems and applications, but models often fail unpredictably when deployed in unseen domains or distributions. Source-free domain adaptation (SFDA) is an area of research that aims to design methods for adapting …
Read more “In search of a generalizable method for source-free domain adaptation”