Gemini gets more personal, proactive and powerful
The Gemini app is getting major new updates, from Veo 3 and Imagen 4 to Deep Research and Canvas. ​Â
Gemini gets more personal, proactive and powerful Read More »
The Gemini app is getting major new updates, from Veo 3 and Imagen 4 to Deep Research and Canvas. ​Â
Gemini gets more personal, proactive and powerful Read More »
Today at I/O, we showed how we’re enhancing Search with our latest Gemini models via AI Mode. ​Â
AI in Search: Going beyond information to intelligence Read More »
Today, we’re announcing a partnership between Google DeepMind and Primordial Soup, a new venture dedicated to storytelling innovation founded by pioneering director Darr… ​Â
Learn more about Google’s new shopping features in AI Mode as well as a new virtual try-on tool that works with personal photos. ​Â
Shop with AI Mode, use AI to buy and try clothes on yourself virtually Read More »
At our annual developer conference, we announced how we’re making AI even more helpful with Gemini. ​Â
Google I/O 2025: From research to reality Read More »
We’re launching the new NotebookLM app, designed to help people understand anything, anywhere. ​Â
Understand anything, anywhere with the new NotebookLM app Read More »
This blog post is co-written with Jonas Neuman from HERE Technologies. HERE Technologies, a 40-year pioneer in mapping and location technology, collaborated with the AWS Generative AI Innovation Center (GenAIIC) to enhance developer productivity with a generative AI-powered coding assistant. This innovative tool is designed to enhance the onboarding experience for HERE’s self-service Maps API
Businesses are constantly evolving, and leaders are challenged every day to meet new requirements and are seeking ways to optimize their operations and gain a competitive edge. One of the key challenges they face is managing the complexity of disparate business systems and workflows, which leads to inefficiencies, data silos, and missed opportunities. Generative AI
With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. RAG is as a way to incorporate additional data that the large language model (LLM) was not trained on. This can also help reduce generation
Detect hallucinations for RAG-based systems Read More »
As one of the fastest sports in the world, almost everything is a race in Formula 1® (F1), even the pit stops. F1 drivers need to stop to change tires or make repairs to damage sustained during a race. Each precious tenth of a second the car is in the pit is lost time in
AWS machine learning supports Scuderia Ferrari HP pit stop analysis Read More »