Yes, Google's roster of consumer-facing products is the slickest on offer. The firm is bundling most of its multimodal models into its Gemini app, including the new Imagen 4 image generator and the new Veo 3 video generator. That means you can now access Google's full range of generative models via a single chatbot. It also announced Gemini Live, a feature that lets you share your phone's screen or your camera's view with the chatbot and ask it about what it can see. Those features were previously only seen in demos of Project Astra, a "universal AI assistant" that Google DeepMind is working on.

In about two weeks, Google's annual developer conference will kick off on May 20. The event is probably the most important on the company's calendar, offering a glimpse at everything it has been working on over the past year. Judging from rumors and information Google has trickled out, I/O 2025 should be one of the more exciting tech keynotes in recent memory. Plus, for the first time, Google has spun out a dedicated Android showcase planned a whole week earlier. If you want to know what to expect from the company later this month, read on.

In a couple of weeks, Google's annual developer conference will kick off on May 20. The event is probably the most important on the company's calendar, offering a glimpse at everything it has been working on over the past year. Judging from rumors and information Google has trickled out, I/O 2025 should be one of the more exciting tech keynotes in recent memory. Plus, this year Google has a dedicated Android showcase planned a whole week earlier. If you want to know what to expect from the company later this month, read on.

Google DeepMind has announced an impressive grab bag of new products and prototypes that may just let it seize back its lead in the race to turn generative artificial intelligence into a mass-market concern. Top billing goes to Gemini 2.0--the latest iteration of Google DeepMind's family of multimodal large language models, now redesigned around the ability to control agents--and a new version of Project Astra, the experimental everything app that the company teased at Google I/O in May. The margins between top-end models like Gemini 2.0 and those from rival labs like OpenAI and Anthropic are now slim. These days, advances in large language models are less about how good they are and more about what you can do with them. And that's where agents come in.

It's nothing new for computers to mimic human social etiquette, emotion, or humor. We just aren't used to them doing it very well. OpenAI's presentation of an all-new version of ChatGPT on Monday suggests that's about to change. It's built around an updated AI model called GPT-4o, which OpenAI says is better able to make sense of visual and auditory input, describing it as "multimodal." You can point your phone at something, like a broken coffee cup or differential equation, and ask ChatGPT to suggest what to do.

At the end of I/O, Google's annual developer conference at the Shoreline Amphitheater in Mountain View, Google CEO Sundar Pichai revealed that the company had said "AI" 121 times. That, essentially, was the crux of Google's two-hour keynote -- stuffing AI into every Google app and service used by more than two billion people around the world. Here are all the major updates from Google's big event, along with some additional announcements that came after the keynote. Google announced a brand new AI model called Gemini 1.5 Flash, which it says is optimised for speed and efficiency. Flash sits between Gemini 1.5 Pro and Gemini 1.5 Nano, which its the company's smallest model that runs locally on device.

Google boss, Sundar Pichai, wrapped up the company's I/O developer conference by noting its almost-two-hour presentation had mentioned AI 121 times. Google's newest AI model, Gemini 1.5 Flash, is built for speed and efficiency. The company said it created Flash because developers wanted a lighter, less expensive model than Gemini Pro to build AI-powered apps and services. Google says it'll double Gemini's context window to two million tokens, enough to process two hours of video, 22 hours of audio, more than 60,000 lines of code or 1.4 million-plus words at the same time. But the bigger news is how the company is sewing AI into all the things you're already using.

At I/O 2024, Google's teaser for Project Astra gave us a glimpse at where AI assistants are going in the future. It's a multi-modal feature that combines the smarts of Gemini with the kind of image recognition abilities you get in Google Lens, as well as powerful natural language responses. However, while the promo video was slick, after getting to try it out in person, it's clear there's a long way to go before something like Astra lands on your phone. So here are three takeaways from our first experience with Google's next-gen AI. Currently, most people interact with digital assistants using their voice, so right away Astra's multi-modality (i.e. using sight and sound in addition to text/speech) to communicate with an AI is relatively novel.

NetApp the leader in cloud data services, today introduced Project Astra, a vision for a software-defined platform that is currently in development with the Kubernetes community. Project Astra will deliver the industry's most robust, easy-to-consume, enterprise-class storage and data services platform for Kubernetes that enables both application and data portability for stateful applications. Although companies everywhere are rapidly adopting Kubernetes, many organizations lack reliable data and application services, and have difficulty making application data as portable as the applicationsthemselves arein Kubernetes. Yet to meet the standards that CIOs expect, IT teams and site reliability engineers must find a way to store, govern, protect, and replicate the data for both stateless and stateful cloud-native applications with enterprise-class cloud storage and data services. Project Astra is being purpose-built for and in collaboration withKubernetes developers and operations managers to help bridge the fundamental gap that exists between the popularity of containers today,the capabilities and user experience they require, and their ability to deliver true, comprehensive portability.