Generative AI has unleashed a new breed of digital assistants, content creation tools, and applications, changing how apps are built, who can build them, and the capabilities end users expect from them. Google is a leader in this field, from the creation…
Introducing Duet AI For Google Cloud – An AI-Powered Collaborator
lopers — you’ve got it all. You can code in your choice of languages, enjoy portability with containers, minimize complexity with serverless, and manage the entire software lifecycle by following DevOps principles. But let’s face it, building and onboarding new cloud…
How CI&T Accelerated Development By 11% With AI From Tabnine And Google Cloud
Whether it’s predictive text, real-time language translation, or voice assistants, code is the foundation of every AI-driven application. While AI plays a critical role in the output of the software development lifecycle (SDLC), AI also can accelerate it. Tabnine, an AI-powered code…
Claude, Now In Slack
Today we are releasing the new Claude App for Slack, now in beta. Built on top of Slack’s platform, the app can summarize threads, answer questions, and more. Now any company has the chance to have a “virtual teammate” who can help…
Google Cloud Launches AI-Powered Solutions To Safely Accelerate Drug Discovery And Precision Medicine
Cerevel and Pfizer are using the Target and Lead Identification Suite—and Colossal Biosciences is adopting the Multiomics Suite—to bring therapeutics to market faster BOSTON, May 16, 2023 /PRNewswire/ — Today at the Bio-IT World Conference, Google Cloud announced two new AI-powered life sciences solutions…
Cloudflare’s R2 Is The Infrastructure Powering Leading AI Companies
R2 provides an affordable, zero egress solution to support the architectural freedom needed to train AI models Groundbreaking generative AI companies, including Character.ai, Leonardo.ai., Lexica.art, and SiteGPT.ai, rely on Cloudflare San Francisco, CA, May 16, 2023 – Cloudflare, Inc. (NYSE: NET), the security,…
Announcing A3 Supercomputers With NVIDIA H100 GPUs, Purpose-Built For AI
Implementing state-of-the-art artificial intelligence (AI) and machine learning (ML) models requires large amounts of computation, both to train the underlying models, and to serve those models once they’re trained. Given the demands of these workloads, a one-size-fits-all approach is not enough…