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Google Launches 'Gemma 4 12B' AI Model That Can Run On Your Laptop

Google has launched Gemma 4 12B, a 12-billion-parameter open AI model designed to run locally on your laptop without depending entirely on cloud infrastructure. WION reports: According to Google, the new model delivers performance close to much larger AI systems while requiring significantly less memory. The company says Gemma 4 12B can run locally on devices equipped with just 16GB of VRAM, making advanced AI more accessible to developers, researchers and businesses. The launch highlights a growing trend across the AI industry: bringing powerful AI models directly to personal computers instead of relying solely on remote data centers. Gemma is Google's family of open AI models built using technology and research from its Gemini program. The new Gemma 4 12B model contains 12 billion parameters and has been designed to handle multiple types of information, including text, images and audio. Unlike traditional AI systems that focus only on text, Gemma 4 12B can understand visual content, process audio inputs and perform advanced reasoning tasks. This makes it suitable for a wider range of applications, from software development and content creation to research and automation. Google says the model is available under the Apache 2.0 licence, allowing developers and organizations to use, modify and deploy it with relatively few restrictions. [...] One of the most significant technical changes in Gemma 4 12B is its new unified architecture. Traditionally, multimodal AI systems use separate components known as encoders to process images, audio and text before combining the information. Google says Gemma 4 12B removes the need for separate multimodal encoders. Instead, the model processes different types of information through a unified architecture. According to the company, this helps improve efficiency while reducing memory requirements and computational overhead. The result is a model that can deliver advanced multimodal capabilities while remaining small enough to run locally on modern hardware.

Read more of this story at Slashdot.

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Google Shares Fitbit Air Blueprints So Anyone Can 3D-Print Accessories

Google has released (PDF) technical specs and 2D CAD drawings for the Fitbit Air to encourage users to make their own accessories. "These CAD drawings include crucial mating dimensions, tolerances, and mating force specifications -- including attach and detach force -- to help you build a high-quality accessory band," Google says on a store page listing. 9to5Google reports: Noting how the "community has already come up with innovative and creative new ideas to make the Fitbit Air [their] own" since launch last month, Google is "officially releasing the hardware specifications and accessory design guidelines for the Fitbit Air tracker to the public." For example, owners have already found their own bicep band solutions. This information would typically just be available for third-party accessory companies, but Google wants to open things up to "independent designers and artisan makers." The Google Store page also lists other things developers should keep in mind, such as sensor clearance, sensor pressure, secure retention, and skin-friendly materials.

Read more of this story at Slashdot.

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Qwant remplace Google au Parlement européen : le vrai début de la souveraineté numérique ?

Le 4 juin, le Parlement européen remplacera Google par Qwant comme moteur de recherche par défaut sur ses ordinateurs. Une bascule qui intervient au moment où les institutions européennes multiplient les initiatives pour réduire leur dépendance aux logiciels américains… et où les grands groupes américains s'inquiètent de la politique européenne.

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