Google has repositioned itself as an AI-focused company, with everything from Search and Android, to YouTube and its internal structure, shifting to accommodate for that pivot — and TechCrunch is here to cover every step of its evolution. Its Gemini model is being rolled out in more countries and across more use cases than ever, though its revenue remains tied to its existing advertising offerings.
It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…
Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.
In the coming months, Google says it will open up the Gemini Nano model to more developers.
LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.
The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app.
The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.
Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.
Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.
Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.
In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.
The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.
Google says that over 100,000 developers already tried the service.
The system effectively listens for “conversation patterns commonly associated with scams” in-real time.
The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.
This is a great example of a company using generative AI to open its software to more users.
Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems.
People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.
A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.
Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.
At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.
Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.
Veo can generate few-seconds-long 1080p video clips given a text prompt.
At Google I/O, Google announced upgrades to Gemini 1.5 Pro, including a bigger context window. .
The AI upgrade will make finding the right content more intuitive and less of a manual search process.
You can expect plenty of AI, but probably not a lot of hardware.
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Google has found a way to bring a variation of its clever “Circle to Search” gesture to iPhone users. The new interaction, launched in January, allows Android users to search…