Gemini, Google
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Google is bringing Gemini intelligence to its Home APIs, allowing smart home developers and manufacturers to tap into Gemini’s AI-powered features and potentially making your smart home a lot, well, smarter. The company announced the news in a blog post during the Google I/O developers conference this week.
Google on Tuesday revealed new Android development tools, a new mobile AI architecture, and an expanded developer community. The announcements accompanied the unveiling of an AI Mode for Google Search at the Google I/O keynote in Mountain View, California.
Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders speculating about a shift in the model wars.
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CNET on MSNEverything We Learned at Google I/O. AI Mode in Chrome, Gemini Live, XR Glasses and Much MoreThis year's Google I/O developer's conference was packed with AI. Google showed off the latest updates to its Gemini AI platform and debuted its pricey new AI Ultra subscription plan (spoiler: it's $250 per month).
On Tuesday at Google I/O 2025, the company announced Deep Think, an “enhanced” reasoning mode for its flagship Gemini 2.5 Pro model. Deep Think allows the model to consider multiple answers to questions before responding, boosting its performance on certain benchmarks.
Google is embedding Gemini AI across phones, TVs, cars, and more. Here's how it could change Android – and what it means for your privacy and daily life.
Google has launched a new Gemini AI Ultra AI subscription that costs $250 per month: Here's what you get from the most expensive tier.
Google I/O, Google’s biggest developer conference of the year, is here. I/O will showcase product announcements from across Google’s portfolio. We're looking forward to plenty of news relating to Android,
I pitched the new Google Gemini against ChatGPT for AI image generation – and the results shocked me
It's because the AI image generation trend started happening after ChatGPT got a serious image upgrade in March, while at the time, Gemini was still relying on Imagen 3, which had some limitations.