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  • Google shows of its cloud AI tools for companies

    Google Cloud introduces upgrades to AI offerings, emphasizing safety and control for businesses. CEO showcases Gemini model's capabilities in creating ads, fighting cyber threats. Enhancements target accuracy and business adoption, aiming to compete with Amazon and Microsoft.

    google shows of its cloud ai tools for companies
  • Google introduces Vids, an AI video creation app

    Google introduces Vids, an AI video tool in Workspace suite for quick collaboration. Vids offers AI-generated storyboards, real-time collaboration, and professional video creation features. It will be available to Gemini for Workspace subscribers.

    google introduces vids an ai video creation app
  • Google plans to charge for AI-powered search engine: report

    According to a report in the Financial Times, Google is looking at a variety of options, including incorporating AI-powered search features to its premium subscription services, which already provide access to its new Gemini AI assistant in Gmail and Docs

    google plans to charge for ai powered search engine report
  • Apple is obtaining its share of the AI pie

    The upcoming iOS 18 update is being called the iPhone’s biggest makeover ever, and AI could be at the heart of it all. Don’t be surprised, though, if Apple still doesn’t utter the two magic words as frequently as Google, Microsoft and Meta do.

    apple is obtaining its share of the ai pie
  • Apple in talks to let Google’s Gemini power AI on iPhones

    Apple is reportedly in discussions to integrate Google's Gemini artificial intelligence system into the iPhone, as per sources familiar with the matter. Talks are underway for Apple to potentially license Gemini from Google to enhance upcoming iPhone features this year. The negotiations, kept private, signify a significant move that could reshape the AI sector.

    apple in talks to let google s gemini power ai on iphones
  • IBM disagrees with closed LLM approach adopted by Big Techs

    Generative AI models, for example, should give their enterprise customers more information about the data that went into training their model which enables or empowers the end customer to be assured that there is no bias. Such disclosures, especially around data sets used for training and the labels on those data sets can also be handed over to the regulator as proof in high-risk use cases, she said.

    ibm disagrees with closed llm approach adopted by big techs
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