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AI is presenting a once-in-a-generation opportunity to transform how you work, how you run your business, and what you build for your customers. But the first wave of AI, while promising, has been stuck in silos, unable to orchestrate complex work across an entire organization. True transformation requires a comprehensive platform that connects to your …
Available in preview via the API, our Computer Use model is a specialized model built on Gemini 2.5 Pro’s capabilities to power agents that can interact with user interfaces.
Video Joint Embedding Predictive Architectures (V-JEPA) learn generalizable off-the-shelf video representation by predicting masked regions in latent space with an exponential moving average (EMA)-updated teacher. While EMA prevents representation collapse, it complicates scalable model selection and couples teacher and student architectures. We revisit masked-latent prediction and show that a frozen teacher suffices. Concretely, we (i) …
Read more “Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers”
This post was co-written with Cyril Ovely from Vxceed. Consumer packaged goods (CPG) companies face a critical challenge in emerging economies: how to effectively retain revenue and grow customer loyalty at scale. Although these companies invest 15–20% of their revenue in trade promotions and retailer loyalty programs, the uptake of these programs has historically remained …
Read more “Vxceed builds the perfect sales pitch for sales teams at scale using Amazon Bedrock”
Startups are using agentic AI to automate complex workflows, create novel user experiences, and solve business problems that were once considered technically impossible. Still, charting the optimal path forward — especially with the integration of AI agents — often presents significant technical complexity To help startups navigate this new landscape, we’re launching our Startup technical …
Read more “Want to get building production-ready AI agents? Here’s where startups should start.”
Large language models (LLM) in natural language processing (NLP) have demonstrated great potential for in-context learning (ICL) — the ability to leverage a few sets of example prompts to adapt to various tasks without having to explicitly update the model weights. ICL has recently been explored for computer vision tasks with promising early outcomes. These …
Read more “Stable Diffusion Models are Secretly Good at Visual In-Context Learning”
Amazon QuickSight data stories support global customers by transforming complex data into interactive narratives for faster decisions. However, manual creation of multiple daily data stories consumes significant time and resources, delaying critical decisions and preventing teams from focusing on valuable analysis. Each organization has multiple business units, and each business unit creates and operates multiple …
Read more “Automate Amazon QuickSight data stories creation with agentic AI using Amazon Nova Act”
CodeMender helps patch critical software vulnerabilities, and rewrites and secures existing code.
This post is cowritten with Gayathri Rengarajan and Harshit Kumar Nyati from PowerSchool. PowerSchool is a leading provider of cloud-based software for K-12 education, serving over 60 million students in more than 90 countries and over 18,000 customers, including more than 90 of the top 100 districts by student enrollment in the United States. When …
Building the best AI applications requires both the freedom to choose the most powerful, specialized model for the task at hand, and a platform that can handle them all. This flexibility is core to the Vertex AI platform, and today, we’re taking a significant step forward in our commitment to giving you unparalleled choice and …
Read more “More choice, more control: self-deploy proprietary models in your VPC with Vertex AI”