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Siliconangle

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Google expands availability of Deep Research, an AI tool that wades deep into any topic

  • Google has expanded the availability of its experimental AI research tool, Deep Research, to Gemini Advanced users on Google Workspace.
  • Deep Research can efficiently explore complex topics and provide detailed reports by analyzing numerous sources in a matter of minutes.
  • It is beneficial for industry research, competitive analysis, customer research, and educational purposes like lesson planning and grant writing.
  • Exclusive to paid Google Workspace users with access to Gemini Advanced, Deep Research enables deep research by switching to the '1.5 Pro with Deep Research' model.
  • Users can input prompts about topics they wish to research deeply, and Deep Research will generate a comprehensive research plan, refining its analysis as it progresses.
  • Once completed, Deep Research provides a detailed report with key findings, original source links, and the ability for users to ask follow-up questions or conduct deeper research.
  • Google emphasizes that Deep Research saves time by condensing hours of research into minutes on various topics and will be available for mobile support in the future.
  • In addition to Deep Research, Google introduced new models in Gemini Advanced, such as 2.0 Flash Thinking Experimental and 2.0 Pro Experimental, ranked highly in generative AI models.
  • The 2.0 Flash Thinking Experimental model is Google's most advanced reasoning model, breaking down prompts into steps to enhance reasoning and understanding for users.
  • The expansion of Deep Research and new AI models aim to offer powerful research and generative capabilities for Google Workspace users, with support for more languages planned.

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Arstechnica

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Microsoft’s new AI agent can control software and robots

  • Microsoft Research has introduced Magma, an integrated AI model for controlling software interfaces and robots.
  • Magma is the first AI model that can process and act upon multimodal data.
  • The project is a collaboration between Microsoft and several universities.
  • Unlike previous systems, Magma integrates perception and control into a single foundation model.

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The Verge

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Fitbit’s got a battery problem

  • Some users have reported a significant drop in battery life after a mandatory firmware update for Fitbit Versa 3 and Sense.
  • The firmware update was aimed at reducing the risk of battery overheating.
  • While the update fixed the overheating issue, it resulted in shorter battery life, making devices last only a day instead of 2-6 days.
  • This isn't the first time Fitbit has faced battery-related complaints, and users have expressed dissatisfaction with the customer support.

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Pymnts

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Google’s AI ‘Co-Scientist’ Helps Unearth Research Ideas

  • Google has introduced an artificial intelligence (AI) system called 'AI co-scientist' to help scientists come up with new hypotheses grounded in research literature.
  • The AI system involves AI agents generating ideas, debating them in a 'tournament,' refining hypotheses, and presenting them to human scientists.
  • AI co-scientist aims to accelerate efforts in science and medicine by producing new ideas, rather than summarizing existing ones.
  • While initially applied to biomedicine, the AI system can be utilized in various fields powered by large language models like Gemini 2.0.
  • The AI co-scientist complements human scientists but does not replace them, functioning as a collaborative tool requiring human input and refinement.
  • The increasing use of AI in scientific research poses concerns about the authenticity and integrity of the scientific record.
  • The AI co-scientist comprises multiple AI agents that interact to fulfill research goals, with actions including idea generation, clustering, and refining hypotheses.
  • Researchers tested the AI co-scientist in tasks related to antibiotic resistance, demonstrating its ability to generate accurate research proposals within a short timeframe.
  • The AI co-scientist's success in formulating hypotheses demonstrates its potential to enhance biomedical and scientific discovery processes.
  • Google’s AI 'co-scientist' contributes to advancing research ideas and could potentially revolutionize scientific discovery in various fields.

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Androidauthority

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YouTube Premium Lite is coming to the US for the first time, but there’s a catch for music lovers

  • YouTube will launch a Premium Lite plan for US, Australia, Germany, and Thailand.
  • Premium Lite will allow ad-free video viewing, excluding music videos.
  • The plan is expected to be introduced soon in the mentioned countries.
  • It may eventually expand to other markets as well.

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Androidauthority

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Your Google Assistant-integrated headphones are losing this convenient hands-free feature

  • Google has disabled automatic Assistant notification reading on all headphones.
  • This feature was previously disabled for Pixel Buds Pro last September.
  • Users can still manually ask Assistant to read notifications.
  • The move is seen as Google dialing back on Assistant features for headphones.

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Androidauthority

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Google Home app is getting a YouTube-like feature for your video history

  • The Google Home mobile app introduces a new way to navigate through video history.
  • Users can double-tap to rewind or fast-forward by 10-second increments.
  • This feature is available in the Public Preview program.
  • Users can navigate camera history faster using the quick seek feature.

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Googleblog

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Meet the Android Studio Team: A Conversation with Engineering Director, Tor Norbye

  • The 'Meet the Android Studio Team' blog series introduces Tor Norbye, an Engineering Director at Google, leading the Android Studio development.
  • Tor shares his journey from Norway to Android development, starting with coding in his early days and transitioning to mobile computing at Google.
  • Android Studio evolved from Eclipse-based tooling to being built on IntelliJ, enhancing the development experience for Android developers.
  • The integration of AI in Android development has transformed developer capabilities, enabling the introduction of new features like intelligent code completion.
  • Tor emphasizes a work-life balance for himself and the team to ensure sustainability and long-term success in their roles.
  • User feedback through channels like the Android Studio issue tracker influences feature development and bug fixes, improving the overall user experience.
  • The Studio team aligns with Google's vision for the Android platform by supporting the latest technologies and recommendations, such as Kotlin, Coroutines, and Material design.
  • AI-driven tools in Android Studio, like automated refactoring and improved code completion, aim to enhance developers' productivity and efficiency.
  • Future advancements in AI and machine learning within Android Studio will continue to empower developers with new capabilities and features.
  • Stay tuned for the next installment in the series to learn more about the talented individuals shaping Android Studio's development.

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Androidauthority

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Google’s phone app can now filter out spam and unknown calls from your call log

  • Google’s Phone app is adding new filters to help users organize their call logs and reduce clutter.
  • The new filters let users sort call history by missed calls, calls from contacts, and spam-marked numbers.
  • Google has been expanding its Call Assist features with tools like Hold for Me, Direct My Call, and reverse phone lookup.
  • The phone app feature is now officially rolling out after previously being spotted in a beta version.

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Medium

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Inference PaliGemma 2 with Transformers.js

  • PaliGemma 2, the latest VLM in the Gemma family, improves adaptability on various transfer tasks using the SigLIP vision encoder and Gemma 2 language decoder architecture.
  • The article details how to serve PaliGemma 2 with Transformers.js in the browser for making inferences directly.
  • Steps include converting PaliGemma 2 model components to ONNX format, quantizing the models, and uploading the ONNX weights on Hugging Face for inference.
  • Part I involves converting and quantizing the vision encoder, language decoder, and embedding tokens of PaliGemma 2, ensuring compatibility for inference using Transformers.js.
  • In Part II, the process of running inferences with the converted model is demonstrated, either on Colab or in a web app using Node.js.
  • A Node.js web app that accepts image and text prompts, leveraging the converted PaliGemma 2 model, is showcased in the article.
  • The author shares insights on leveraging ONNX to run PaliGemma 2 in a non-Pythonic environment, highlighting the efforts and learnings involved in the project.
  • Acknowledgments are given to the ONNX community and the Google ML Developers Program team for providing support and resources for the project.
  • The article concludes with reference links and encourages readers to explore and engage with the contents shared.
  • The demonstration includes results of inferencing with PaliGemma 2 Mix models using Transformers.js, showcasing impressive performance.
  • The author encourages appreciation by starring the repository, sharing the work, and hints at future engaging blogs on related topics.

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Androidauthority

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Google Meet has a new look on phones, and these familiar buttons are moving

  • Google is rolling out design tweaks to the Meet app on Android and iOS, changing the placement of some key controls.
  • Emoji reactions are moving to the bottom bar for easier access, while the hand raise button is shifting into the overflow menu on mobile devices.
  • Host controls are relocating to the settings menu, and iOS users will see the end call button move to the right side.
  • The design refresh aims to make it easier for users to navigate meetings on small screens without affecting the functionality of the features.

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Androidauthority

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YouTube Music just gave its AI playlist maker a revamp

  • The YouTube Music app has undergone an update that changes how 'Ask for music' appears.
  • The 'Ask for music any way you like' card has been transformed into an 'Ask for music' carousel.
  • The carousel offers 10 different example prompts for generating custom AI-generated radio/playlist.
  • Some of the example prompts include deep-voice singers, new releases, chillwave, British rock classics, etc.

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The Verge

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Amazon’s Appstore is pulling Android support

  • Amazon is ending Android support for its Appstore this year on August 20th.
  • Apps downloaded from Amazon’s Appstore onto Android devices won’t guarantee operation after August 20th.
  • Amazon is also discontinuing its Amazon Coins program, a virtual currency used for purchasing apps and in-app items.
  • Amazon's Appstore has been unable to compete with Google's Android market dominance.

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Droid-Life

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Gemini Advanced Now Gets ‘Deep Research’ on Mobile

  • Gemini Advanced users on mobile now have access to Deep Research.
  • Deep Research generates comprehensive reports on various research topics.
  • It aims to save users hours of research time.
  • Gemini Advanced is required to utilize Deep Research.

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Cloudblog

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An SRE’s guide to optimizing ML systems with MLOps pipelines

  • Site Reliability Engineers (SREs) responsible for ML systems need to focus on pipeline management for reliable services.
  • Training ML models involves managing data ingestion, freshness, training, and deployment efficiency.
  • ML systems' challenges include capacity planning, resource management, and cost understanding.
  • Data freshness is crucial for ML systems' health and user experience, with varying requirements by product.
  • Automation, SLOs, and understanding data volume are key for reliable ML pipelines.
  • Efficient machine learning inference is vital for real-world deployment, optimizing cost effectiveness.
  • Knowing how to efficiently use specialized hardware is essential for cost-effective AI pipelines.
  • Automation and minimizing manual effort are crucial for building resilient data pipelines.
  • Successful ML deployments require holistic management, including data pipelines, training, and monitoring.
  • Using GKE for AI orchestration can further enhance ML system management and optimization.

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