Today, we’re announcing a partnership between Google DeepMind and Primordial Soup, a new venture dedicated to storytelling innovation founded by pioneering director Darr…
The Gemini app is getting major new updates, from Veo 3 and Imagen 4 to Deep Research and Canvas.
At our annual developer conference, we announced how we’re making AI even more helpful with Gemini.
Today at I/O, we showed how we’re enhancing Search with our latest Gemini models via AI Mode.
We’re launching the new NotebookLM app, designed to help people understand anything, anywhere.
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 …
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 »
This post is co-authored by Manuel Lopez Roldan, SiMa.ai, and Jason Westra, AWS Senior Solutions Architect. Are you looking to deploy machine learning (ML) models at the edge? With Amazon SageMaker AI and SiMa.ai’s Palette Edgematic platform, you can efficiently build, train, and deploy optimized ML models at the edge for a variety of use …
Accelerate edge AI development with SiMa.ai Edgematic with a seamless AWS integration Read More »
