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 It's Wednesday, March 11 in Australia and New Zealand, which means it's the official launch day for all of the products Apple introduced last week, including the new low-cost MacBook Neo, the iPhone 17e, the M5 Pro and M5 Max MacBook Pro models, the Studio Display, the ?Studio Display? XDR, the M4 iPad Air, and the M5 MacBook Air.
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At the start of the year, Google brought a host of new Gemini-powered features, including built-in Nano Banana image generation, to Chrome. After debuting in the United States, those features are now making their way to Chrome users in Canada, India and New Zealand, with support for 50 additional in tow. Among the new languages Gemini in Chrome can now converse in are French, Gujarati, Hindi and Spanish.
To try out Gemini in Chrome, tap the sparkle icon at the top right of the interface. This will open the sidebar interface Google introduced in January. From there, you can chat with the company's Gemini chatbot without the need to switch tabs. From the sidebar, you can also access Google's in-house image generator. Additionally, Gemini in Chrome offers integrations with Gmail, Maps, Calendar, YouTube and other Google apps. If you live outside Canada, India or New Zealand, Google says it will make Gemini in Chrome available in more countries and languages throughout the rest of 2026. Oh, and if don't want to use Gemini in Chrome, you can right click on the sparkle icon and select unpin to never see it again.
This article originally appeared on Engadget at https://www.engadget.com/ai/google-starts-rolling-out-gemini-in-chrome-to-users-in-canada-india-and-new-zealand-023000528.html?src=rss
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The UK government is working on a controversial data bill that would allow AI companies like Google and OpenAI to train their models on copyrighted materials without consent. However, following a two month consultation, it looks like passage of the law will be delayed. "Copyright is going to be kicked down the road," a person with knowledge of the matter told The Financial Times.
Responses by stakeholders during the consultation period weren't favorable to any of the government's proposed ideas for use of copyrighted materials, the FT's sources said. There's no expectation now that an AI bill will be part of the King's Speech set for May this year.
As a result, Ministers have decided to go back to the drawing board and spend more time exploring other options. The House of Lords Communications and Digital Committee called on the government to develop a licensing-first regime "underpinned by robust transparency that safeguards creators' livelihoods while supporting sustainable AI growth."
The UK parliament's preferred position on the bill (also argued by tech giants like Google) has been that copyright holders need to formally opt-out if they don't want their materials used to train AI models. However, publishers, filmmakers, musicians and others have said that this would be impractical and an existential threat to the UK's creative industries.
The House of Lords took the side of artists and introduced an amendment that would require tech companies to dis
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The US Department of Justice (DOJ) and 16 state Attorneys General have filed a sweeping antitrust lawsuit against Apple and its business practices involving the iPhone.
Announced during news conference in Washington, D.C. today, the 88-page lawsuit drew quick fire from Apple, which said it "threatens who we are." The company vowed to "vigorously defend' itself against the DOJ.
Following several years of investigation, the suit cites numerous internal Apple emails, makes numerous arguments about what the company is doing wrong, and demands that Apple's anti-competitive business practices "must stop."
To read this article in full, please click here
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Large language models (LLMs), the algorithmic platforms on which generative AI (genAI) tools like ChatGPT are built, are highly inaccurate when connected to corporate databases and becoming less transparent, according to two studies.
One study by Stanford University showed that as LLMs continue to ingest massive amounts of information and grow in size, the genesis of the data they use is becoming harder to track down. That, in turn, makes it difficult for businesses to know whether they can safely build applications that use commercial genAI foundation models and for academics to rely on them for research.
To read this article in full, please click here
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