Large language models (LLMs) now support a wide range of use cases, from content summarization to the ability to reason about complex tasks. One exciting new topic is taking generative AI to the physical world by applying it to robotics and physical hardware. Inspired by this, we developed a game for the AWS re:Invent 2024 …
Read more “Bringing tic-tac-toe to life with AWS AI services”
We are thrilled to announce the integration of TimesFM into our leading data platforms, BigQuery and AlloyDB. This brings the power of large-scale, pre-trained forecasting models directly to your data within the Google Data Cloud, enabling you to predict future trends with unprecedented ease and accuracy. TimesFM is a powerful time-series foundation model developed by …
Read more “TimesFM in Data Cloud: The future of forecasting in BigQuery and AlloyDB”
What if you could answer complex business questions in minutes instead of weeks, automate workflows without writing code, and empower every employee with enterprise AI—all while maintaining security and governance? That’s the power of Amazon Quick Suite, and at AWS re:Invent 2025, we are showcasing how organizations are making it a reality. Launched in October …
Read more “Your complete guide to Amazon Quick Suite at AWS re:Invent 2025”
TL;DR Large language models (LLMs) and multimodal AI systems are now part of critical business workflows, which means they have become both powerful security tools and high-value targets. Attackers are already jailbreaking models, stealing prompts, abusing autonomous AI agents, and weaponizing tools like WormGPT and FraudGPT. The next few years will be defined by an …
This post is co-authored with the Biomni group from Stanford. Biomedical researchers spend approximately 90% of their time manually processing massive volumes of scattered information. This is evidenced by Genentech’s challenge of processing 38 million biomedical publications in PubMed, public repositories like the Human Protein Atlas, and their internal repository of hundreds of millions of …
Read more “Build a biomedical research agent with Biomni tools and Amazon Bedrock AgentCore Gateway”
In the fast-evolving world of agentic development, natural language is becoming the standard for interaction. This shift is deeply connected to the power of operational databases, where a more accurate text-to-SQL capability is a major catalyst for building better, more capable agents. From empowering non-technical users to self-serve data, to accelerating analyst productivity, the ability …
Read more “A new top score: Advancing Text-to-SQL on the BIRD benchmark”
For those building with AI, most are in it to change the world — not twiddle their thumbs. So when inspiration strikes, the last thing anyone wants is to spend hours waiting for the latest AI models to download to their development environment. That’s why today we’re announcing a deeper partnership between Hugging Face and …
Read more “Expanding support for AI developers on Hugging Face”
TL;DR Using Google’s new Veo 3.1 video model, we created a breathtaking 1 minute 40 second FPV drone flight through mountain valleys, and it took just 15 minutes to generate. Imagine soaring through alpine valleys, gliding between snowy peaks, and diving toward rivers that twist like silver ribbons below, all without leaving your desk. That’s …
Conditional generative modeling aims to learn a conditional data distribution from samples containing data-condition pairs. For this, diffusion and flow-based methods have attained compelling results. These methods use a learned (flow) model to transport an initial standard Gaussian noise that ignores the condition to the conditional data distribution. The model is hence required to learn …
For decades, SQL has been the universal language for data analysis, offering access to analytics on structured data. Large Language Models (LLMs) like Gemini now provide a path to get nuanced insights from unstructured data such as text, image and video. However, integrating LLMs into standard SQL flow requires data movement, at least some prompt …
Read more “Announcing BigQuery-managed AI functions for better SQL”