RT-2: New model translates vision and language into action

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 …

What is the vulnerability management lifecycle?

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 …

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Build intelligent applications with Neo4j Knowledge Graphs and Google Cloud generative AI

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. …

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Abandoned Cart vs. Abandoned Checkout: Why Do Buyers Bounce?

It’s frustrating for digital marketers to look at their monthly analytics and discover that a block of shoppers came this close to buying — only to exit the site. Shopping cart abandonment remains one of the biggest challenges for many online businesses. To prevent it, digital marketers need to understand the root of the problem: …

Scale knowledge management use cases with generative AI

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 …