News from the AI & ML world
DeeperML - #geminiai
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Search Engine Journal
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Google is aggressively expanding its artificial intelligence capabilities across its platforms, integrating the Gemini AI model into Search, and Android XR smart glasses. The tech giant unveiled the rollout of "AI Mode" in the U.S. Search, making it accessible to all users after initial testing in the Labs division. This move signifies a major shift in how people interact with the search engine, offering a conversational experience akin to consulting with an expert.
Google is feeding its latest AI model, Gemini 2.5, into its search algorithms, enhancing features like "AI Overviews" which are now available in over 200 countries and 40 languages and are used by 1.5 billion monthly users. In addition, Gemini 2.5 Pro introduces enhanced reasoning, through Deep Think, to give deeper and more thorough responses with AI Mode with Deep Search. Google is also testing new AI-powered features, including the ability to conduct searches through live video feeds with Search Live. Google is also re-entering the smart glasses market with Android XR-powered spectacles featuring a hands-free camera and a voice-powered AI assistant. This project, named Astra, allows users to talk back and forth with Search about what they see in real-time with their cameras. These advancements aim to create more personalized and efficient user experiences, marking a new phase in the AI platform shift and solidifying AI's position in search. Recommended read:
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Eric Hal@techradar.com
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Google I/O 2025 saw the unveiling of 'AI Mode' for Google Search, signaling a significant shift in how the company approaches information retrieval and user experience. The new AI Mode, powered by the Gemini 2.5 model, is designed to offer more detailed results, personal context, and intelligent assistance. This upgrade aims to compete directly with the capabilities of AI chatbots like ChatGPT, providing users with a more conversational and comprehensive search experience. The rollout has commenced in the U.S. for both the browser version of Search and the Google app, although availability in other countries remains unconfirmed.
AI Mode brings several key features to the forefront, including Deep Search, Live Visual Search, and AI-powered agents. Deep Search allows users to delve into topics with unprecedented depth, running hundreds of searches simultaneously to generate expert-level, fully-cited reports in minutes. With Search Live, users can leverage their phone's camera to interact with Search in real-time, receiving context-aware responses from Gemini. Google is also bringing agentic capabilities to Search, allowing users to perform tasks like booking tickets and making reservations directly through the AI interface. Google’s revamp of its AI search service appears to be a response to the growing popularity of AI-driven search experiences offered by companies like OpenAI and Perplexity. According to Gartner analyst Chirag Dekate, evidence suggests a greater reliance on search and AI-infused search experiences. As AI Mode rolls out, Google is encouraging website owners to optimize their content for AI-powered search by creating unique, non-commodity content and ensuring that their sites meet technical requirements and provide a good user experience. Recommended read:
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@cloud.google.com
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AI & Machine Learning
, www.tomsguide.com
Google Cloud is enhancing its text-to-SQL capabilities using the Gemini AI model. This technology aims to improve the speed and accuracy of data access for organizations that rely on data-driven insights for decision-making. SQL, a core component of data access, is being revolutionized by Gemini's ability to generate SQL directly from natural language, also known as text-to-SQL. This advancement promises to boost productivity for developers and analysts while also empowering non-technical users to interact with data more easily.
Gemini's text-to-SQL capabilities are already integrated into several Google Cloud products, including BigQuery Studio, Cloud SQL Studio (supporting Postgres, MySQL, and SQL Server), AlloyDB Studio, and Cloud Spanner Studio. Users can find text-to-SQL features within the SQL Editor, SQL Generation tool, and the "Help me code" functionality. Additionally, AlloyDB AI offers a direct natural language interface to the database, currently available as a public preview. These integrations leverage Gemini models accessible through Vertex AI, providing a foundation for advanced text-to-SQL functionalities. Current state-of-the-art LLMs like Gemini 2.5 possess reasoning skills that enable them to translate intricate natural language queries into functional SQL code, complete with joins, filters, and aggregations. However, challenges arise when applying this technology to real-world databases and user questions. To address these challenges, Google Cloud is developing methods to provide business-specific context, understand user intent, manage SQL dialect differences, and complement LLMs with additional techniques to offer accurate and certified answers. These methods include context building, table retrieval, LLM-as-a-judge techniques, and LLM prompting and post-processing, which will be explored further in future blog posts. Recommended read:
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@www.theapplepost.com
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Ken Yeung
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Google is expanding its use of Gemini AI to revolutionize advertising on YouTube with a new product called "Peak Points," announced at the YouTube Brandcast event in New York. This AI-powered feature analyzes videos to pinpoint moments of maximum viewer engagement, strategically inserting ads at these "peak points." The goal is to improve ad performance by targeting viewers when they are most emotionally invested or attentive, potentially leading to better ad recall and effectiveness for marketers.
This new approach to ad placement signifies a shift from traditional contextual targeting, where ads are placed based on general video metadata or viewer history. Gemini AI provides a more granular analysis, identifying specific timestamps within a video where engagement spikes. This allows YouTube to not only understand what viewers are watching but also how they are watching it, gathering real-time attention data. This data has far-reaching implications, potentially influencing algorithmic recommendations, content development, talent discovery, and platform control. For content creators, Peak Points fundamentally changes monetization strategies. The traditional mid-roll ad insertion at default intervals will be replaced by Gemini's assessment of content's engagement level. Creators will now be incentivized to create content that not only retains viewers but also generates attention spikes at specific moments. Marketers, on the other hand, are shifting from buying against content to buying against engagement, necessitating a reevaluation of brand safety, storytelling, and overall campaign outcomes in this new attention-based economy. Recommended read:
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Scott Webster@AndroidGuys
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Google is aggressively expanding its Gemini AI across a multitude of devices, signifying a major push to create a seamless AI ecosystem. The tech giant aims to integrate Gemini into everyday experiences by bringing the AI assistant to smartwatches running Wear OS, Android Auto for in-car assistance, Google TV for enhanced entertainment, and even upcoming XR headsets developed in collaboration with Samsung. This expansion aims to provide users with a consistent and powerful AI layer connecting all their devices, allowing for natural voice interactions and context-based conversations across different platforms.
Google's vision for Gemini extends beyond simple voice commands, the AI assistant will offer a range of features tailored to each device. On smartwatches, Gemini will provide convenient access to information and app interactions without needing to take out a phone. In Android Auto, Gemini will replace the current Google voice assistant, enabling more sophisticated tasks like planning routes with charging stops or summarizing messages. For Google TV, the AI will offer personalized content recommendations and educational answers, while on XR headsets, Gemini will facilitate immersive experiences like planning trips using videos, maps, and local information. In addition to expanding Gemini's presence across devices, Google is also experimenting with its search interface. Reports indicate that Google is testing replacing the "I'm Feeling Lucky" button on its homepage with an "AI Mode" button. This move reflects Google's strategy to keep users engaged on its platform by offering direct access to conversational AI responses powered by Gemini. The AI Mode feature builds on the existing AI Overviews, providing detailed AI-generated responses to search queries on a dedicated results page, further emphasizing Google's commitment to integrating AI into its core services. Recommended read:
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Scott Webster@AndroidGuys
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PCMag Middle East ai
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Google is significantly expanding the reach of its Gemini AI assistant, bringing it to a wider range of devices beyond smartphones. This expansion includes integration with Android Auto for vehicles, Wear OS smartwatches, Google TV, and even upcoming XR headsets developed in collaboration with Samsung. Gemini's capabilities will be tailored to each device context, offering different functionalities and connectivity requirements to optimize the user experience. Material 3 Expressive will launch with Android 16 and Wear OS 6, starting with Google’s own Pixel devices first.
Google's integration of Gemini into Android Auto aims to enhance the driving experience by providing drivers with a natural language interface for various tasks. Drivers will be able to interact with Gemini to send messages, translate conversations, find restaurants, and play music, all through voice commands. While Gemini will require a data connection in Android Auto and Wear OS, cars with Google built-in will offer limited offline support. Google plans to address potential distractions by designing Gemini to be safe and focusing on quick tasks. Furthermore, Google has unveiled 'Material 3 Expressive', a new design language set to debut with Android 16 and Wear OS 6. This design language features vibrant colours, adaptive typography, and responsive animations, aiming to create a more personalized and engaging user interface. The expanded color palette includes purples, pinks, and corals, and integrates dynamic colour theming that draws from personal elements. Customizable app icons, adaptive layouts, and refined quick settings tiles are some of the functional enhancements users can expect from this update. Recommended read:
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Scott Webster@AndroidGuys
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Google is aggressively expanding the reach of its Gemini AI model, aiming to integrate it into a wide array of devices beyond smartphones. The tech giant plans to bring Gemini to Wear OS smartwatches, Android Auto in vehicles, Google TV for televisions, and even XR headsets developed in collaboration with Samsung. This move seeks to provide users with AI assistance in various contexts, from managing tasks while cooking or exercising with a smartwatch to planning routes and summarizing information while driving using Android Auto. Gemini's integration into Google TV aims to offer educational content and answer questions, while its presence in XR headsets promises immersive trip planning experiences.
YouTube is also leveraging Gemini AI to revolutionize its advertising strategy with the introduction of "Peak Points," a new ad format designed to identify moments of high user engagement in videos. Gemini analyzes videos to pinpoint these peak moments, strategically placing ads immediately afterward to capture viewers' attention when they are most invested. While this approach aims to benefit advertisers by improving ad retention, it has raised concerns about potentially disrupting the viewing experience and irritating users by interrupting engaging content. An alternative ad format called Shoppable CTV, which allows users to browse and purchase items during an ad, is considered a more palatable option. To further fuel AI innovation, Google has launched the AI Futures Fund. This program is designed to support early-stage AI startups with equity investment and hands-on technical support. The AI Futures Fund provides startups with access to advanced Google DeepMind models like Gemini, Imagen, and Veo, as well as direct collaboration with Google experts from DeepMind and Google Lab. Startups also receive Google Cloud credits and dedicated technical resources to help them build and scale efficiently. The fund aims to empower startups to "move faster, test bolder ideas," and bring ambitious AI products to life, fostering innovation in the field. Recommended read:
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Scott Webster@AndroidGuys
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Google is expanding its Gemini AI assistant to a wider range of Android devices, moving beyond smartphones to include smartwatches, cars, TVs, and headsets. The tech giant aims to seamlessly integrate AI into users' daily routines, making it more accessible and convenient. This expansion promises a more user-friendly and productive experience across various aspects of daily life. The move aligns with Google's broader strategy to make AI ubiquitous, enhancing usability through conversational and hands-free features.
This integration, referred to as "Gemini Everywhere," seeks to enhance usability and productivity by making AI features more conversational and hands-free. For in-car experiences, Google is bringing Gemini AI to Android Auto and Google Built-in vehicles, promising smarter in-car experiences and hands-free task management for safer driving. Gemini's capabilities should allow for simpler task management and more personalized results across all these new platforms. The rollout of Gemini on these devices is expected later in 2025, first on Android Auto, then Google Built-in vehicles, and Google TV, although the specific models slated for updates remain unclear. Gemini on Wear OS and Android Auto will require a data connection, while Google Built-in vehicles will have limited offline support. The ultimate goal is to offer seamless AI assistance across multiple device types, enhancing both convenience and productivity for Android users. Recommended read:
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Andrew Hutchinson@socialmediatoday.com
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felloai.com
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Google is aggressively expanding its AI capabilities across various platforms, aiming to enhance user experiences and maintain a competitive edge. One significant advancement is the launch of an AI-based system for generating 3D assets for shopping listings. This new technology simplifies the creation of high-quality, shoppable 3D product visualizations from as few as three product images, leveraging Google's Veo AI model to infer movement and infill frames, resulting in more responsive and logical depictions of 3D objects. This enhancement allows brands to include interactive 3D models of their products in Google Shopping displays, creating a more engaging online shopping experience and potentially feeding into VR models for virtual worlds depicting real objects.
Google is also leveraging AI to combat tech support scams in its Chrome browser. The new feature, launched with Chrome 137, utilizes the on-device Gemini Nano large language model (LLM) to detect and block potentially dangerous sites. When a user navigates to a suspicious page exhibiting characteristics of tech support scams, Chrome evaluates the page using the LLM to extract security signals, such as the intent of the page, and sends this information to Safe Browsing for a final verdict. This on-device approach allows for the detection of threats as they appear to users, even on malicious sites that exist for less than 10 minutes, providing an additional layer of protection against cybercrime. Furthermore, Google is exploring the potential of AI in healthcare with advancements to its Articulate Medical Intelligence Explorer (AMIE). The multimodal AMIE can now interpret visual medical information such as X-rays, CT scans, and MRIs, engaging in diagnostic conversations with remarkable accuracy. This breakthrough enables AMIE to request, interpret, and reason about visual medical data, potentially surpassing human capabilities in certain diagnostic areas. The AI can now look at a scan, discuss its findings, ask clarifying questions, and integrate that visual data into its overall diagnostic reasoning. This development suggests a future where AI could play a more active and insightful role in diagnosing diseases, revolutionizing healthcare as we know it. Recommended read:
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@cloud.google.com
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Google is reportedly developing new subscription tiers for its Gemini AI service, potentially introducing a "Gemini Ultra" plan. Code discoveries within the Gemini web interface suggest that these additional tiers will offer varying capabilities and usage limits beyond the existing "Gemini Advanced" tier, which is available through the Google One AI Premium plan at $19.99 per month. These plans could offer increased or unlimited access to specific features, with users potentially encountering upgrade prompts when reaching usage limits on lower tiers.
References to "Gemini Pro" and "Gemini Ultra" indicate that Google is planning distinct tiers with differing capabilities. Google's strategy mirrors its broader shift towards a subscription-based model, as evidenced by the growth of Google One and YouTube Premium. By offering tiered access, Google can cater to a wider range of users, from casual consumers to professionals requiring advanced AI capabilities. In other news, Alphabet CEO Sundar Pichai testified in court regarding the Justice Department's antitrust case against Google. Pichai defended Google against the DOJ's proposals, calling them "extraordinary" and akin to a "de facto divestiture" of the company's search engine. He also expressed optimism about integrating Gemini into iPhones this fall, revealing conversations with Apple CEO Tim Cook and expressing hope for a deal by mid-year. BigQuery is adding TimesFM forecasting model, structured data extraction and generation with LLMs, and row-wise (Scalar) LLM functions to simplify data analysis. Recommended read:
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Giovanni Galloro@AI & Machine Learning
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Google is enhancing the software development process with its Gemini Code Assist, a tool designed to accelerate the creation of applications from initial requirements to a working prototype. According to a Google Cloud Blog post, Gemini Code Assist integrates directly with Google Docs and VS Code, allowing developers to use natural language prompts to generate code and automate project setup. The tool analyzes requirements documents to create project structures, manage dependencies, and set up virtual environments, reducing the need for manual coding and streamlining the transition from concept to prototype.
Gemini Code Assist facilitates collaborative workflows by extracting and summarizing application features and technical requirements from documents within Google Docs. This allows developers to quickly understand project needs directly within their code editor. By using natural language prompts, developers can then iteratively refine the generated code based on feedback, fostering efficiency and innovation in software development. This approach enables developers to focus on higher-level design and problem-solving, significantly speeding up the application development lifecycle. The tool supports multiple languages and frameworks, including Python, Flask, and SQLAlchemy, making it versatile for developers with varied skill sets. A Google Codelabs tutorial further highlights Gemini Code Assist's capabilities across key stages of the Software Development Life Cycle (SDLC), such as design, build, test, and deployment. The tutorial demonstrates how to use Gemini Code Assist to generate OpenAPI specifications, develop Python Flask applications, create web front-ends, and even get assistance on deploying applications to Google Cloud Run. Developers can also use features like Code Explanation and Test Case generation. Recommended read:
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@Google DeepMind Blog
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Google is integrating its Veo 2 video-generating AI model into Gemini Advanced, allowing subscribers to create short, cinematic videos from text prompts. The new feature, launched on April 15, 2025, enables Gemini Advanced users to generate 8-second, 720p videos in a 16:9 aspect ratio, suitable for sharing on platforms like TikTok and YouTube. These videos can be downloaded as MP4 files and include Google's SynthID watermark, ensuring transparency regarding AI-generated content. Currently, this offering is exclusively for Google One AI Premium subscribers and does not extend to Google Workspace business and educational plans.
Veo 2 is also being integrated into Whisk, an experimental tool within Google Labs. This integration includes a new feature called "Whisk Animate" that transforms uploaded images into animated video clips, also utilizing the Veo 2 model. Similar to Gemini, the video output in Whisk is limited to eight seconds and is accessible only to Premium subscribers. The integration of Veo 2 into Gemini Advanced and Whisk represents Google's efforts to compete with other AI video generation platforms. Google's Veo 2 is designed to turn detailed text prompts into cinematic-quality videos with lifelike motion, natural physics, and visually rich scenes. The system is able to interpret detailed text prompts and turn them into fully animated clips with lifelike elements and a strong visual narrative. To ensure responsible use and transparency, Google employs its proprietary SynthID technology, which embeds an invisible watermark into each video frame. The company also implements red-teaming and additional review processes to prevent the creation of content that violates its content policies. The new video generation features are being rolled out globally and support all languages currently available in Gemini. Recommended read:
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Carl Franzen@AI News | VentureBeat
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Google is enhancing Android development with its Gemini AI model, launching Gemini in Android Studio for Businesses to streamline the design of work applications. This new offering is a subscription-based service that aims to meet the growing demand for secure, privacy-conscious, and customizable AI integration within large organizations and development teams. By leveraging Gemini, Android developers can now more easily create workplace apps within the Android ecosystem, with enhanced features tailored for managing sensitive codebases and workflows. This move brings AI-assisted coding into enterprise-grade environments without compromising data governance or intellectual property protection.
Visual AI in Gemini Live is also bringing AI-powered vision to devices like the Samsung Galaxy S25. The upgrade allows users to grant Gemini Live access to their camera and screen sharing, enabling the AI to provide real-time conversational interactions about what it sees. Samsung states the new upgrade to Gemini Live means the AI can 'have a real-time conversation with users about what it sees – making everyday tasks easier.' For Galaxy S25 users, this update is already rolling out as a free upgrade, demonstrating the deepening partnership between Google and Samsung in the AI space. In addition to benefiting developers and end users, Gemini is also being integrated into other Google services, such as Google Chat. Gemini in Google Chat can now help users catch up on unread conversations with summaries, even extending this ability to direct messages and read conversations. This functionality, already available, has also been expanded to include three additional languages: Spanish, Portuguese, and German. These enhancements across different platforms show Google's commitment to leveraging AI to improve productivity and user experience across its suite of products. Recommended read:
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Dr. Hura@Digital Information World
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Google is reportedly developing a child-friendly version of its Gemini AI chatbot. An APK teardown by Android Authority has revealed some strings within the Google app, which hint at an optimized experience designed for kids. The code included mentions of a welcome screen tailored for younger users and outlined key functionalities of the upcoming Gemini version. Among other things, Gemini for kids will allow them to create stories, and get homework help.
This new iteration is expected to ship with additional safeguards, ensuring a safer interaction for children while also adhering to Google's strict privacy policies surrounding data processing. Google currently enforces robust content policies for teenagers accessing the original Gemini app, promoting a secure environment by automatically onboarding them with guidance on responsible AI use. Given Google's history of implementing child-centric features, it is certainly plausible that Google can move forward with introducing a dedicated version of Gemini aimed at children. Recommended read:
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Evelyn Blake@The Tech Basic
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The Tech Basic
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Google has begun rolling out real-time interaction features to its AI assistant, Gemini, enabling live video and screen sharing. These enhancements, powered by Project Astra, allow users to engage more intuitively with their devices, marking a significant advancement in AI-assisted technology. These features are available to Google One AI Premium subscribers.
The new live video feature allows users to utilize their smartphone cameras to engage in real-time visual interactions with Gemini, enabling the AI to answer questions about what it observes. Gemini can analyze a user’s phone screen or camera feed in real-time and instantly answer questions. The screen-sharing feature enables the AI to analyze and provide insights on the displayed content, useful for navigating complex applications or troubleshooting issues. Google plans to expand access to more users soon. Recommended read:
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Evelyn Blake@The Tech Basic
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The Tech Basic
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Google has started rolling out new AI tools for Gemini, allowing the assistant to analyze your phone screen or camera feed in real time. These features are powered by Project Astra and are available to Google One AI Premium subscribers. The update transforms Gemini into a visual helper, enabling users to point their camera at an object and receive descriptions or suggestions from the AI.
These features are part of Google's Project Astra initiative, which aims to enhance AI's ability to understand and interact with the real world in real-time. Gemini can now analyze your screen in real-time through a "Share screen with Live" button and analyze your phone's camera. Early adopters have tested the screen-reading tool, and Google plans to expand access to more users soon. With Gemini's live video and screen sharing functionalities, Google is positioning itself ahead in the competitive landscape of AI assistants. Recommended read:
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@Google DeepMind Blog
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Google DeepMind Blog
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Google has launched Gemini 2.0, its most capable AI model yet, designed for the new agentic era. This model introduces advancements in multimodality, including native image and audio output, and native tool use, enabling the development of new AI agents. Gemini 2.0 is being rolled out to developers and trusted testers initially, with plans to integrate it into Google products like Gemini and Search. Starting today, the Gemini 2.0 Flash experimental model is available to all Gemini users.
New features powered by Project Astra are now accessible to Google One AI Premium subscribers, enabling live video analysis and screen sharing. This update transforms Gemini into a more interactive visual helper, capable of instantly answering questions about what it sees through the device's camera. Users can point their camera at an object, and Gemini will describe it or offer suggestions, providing a more contextual understanding of the real world. These advanced tools will enhance AI Overviews in Google Search. Recommended read:
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@tomsguide.com
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Google is enhancing its AI capabilities by integrating Gemini AI into Google Calendar and introducing Gemini Embedding, its most advanced text embedding model. The integration with Google Calendar aims to provide users with a more efficient way to manage their schedules by using natural language to check events, create meetings, and find key details. Google is set to roll out a Gemini AI upgrade to Google Calendar, allowing users to use the AI assistant to create events, check schedules, or recall event details.
Gemini Embedding offers state-of-the-art performance, increased language support, and improved efficiency for AI-powered search, classification, and retrieval tasks. The new model supports over 100 languages and offers a mean score of 68.32 on the MTEB Multilingual leaderboard, outperforming competitors. Google has launched an experimental Gemini-based text embedding model, offering state-of-the-art performance, increased language support, and improved efficiency for AI-powered search, classification, and retrieval tasks. Recommended read:
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Matthias Bastian@THE DECODER
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Google is enhancing its Gemini AI assistant with the ability to access users' Google Search history to deliver more personalized and relevant responses. This opt-in feature allows Gemini to analyze a user's search patterns and incorporate that information into its responses. The update is powered by the experimental Gemini 2.0 Flash Thinking model, which the company launched in late 2024.
This new capability, known as personalization, requires explicit user permission. Google is emphasizing transparency by allowing users to turn the feature on or off at any time, and Gemini will clearly indicate which data sources inform its personalized answers. To test the new feature Google suggests users ask about vacation spots, YouTube content ideas, or potential new hobbies. The system then draws on individual search histories to make tailored suggestions. Recommended read:
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Chris McKay@Maginative
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Google is currently navigating the "innovator’s dilemma" by experimenting with AI-driven search solutions to disrupt its core search business before competitors do. The company is testing and developing AI versions of Google Search, including a new experimental "AI Mode" powered by Gemini 2.0. This new mode transforms the search engine into a chatbot-like interface, providing more nuanced and multi-step answers to user queries. It allows users to interact with the AI, ask follow-up questions, and even compare products directly within the search page.
AI Mode delivers a full-page AI-generated response. Users can interact with the AI, ask follow-up questions, and even compare products. This mode runs on a custom Gemini 2.0 version and is currently available to Google One AI Premium subscribers. This move comes as Google faces increasing competition from other AI chatbots like OpenAI's ChatGPT and Perplexity AI, who are rethinking the search experience. The goal is to provide immediate, conversational answers and a more comprehensive search experience, though some experts caution that the traditional link-based search may eventually disappear as a result. Recommended read:
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