News from the AI & ML world
DeeperML - #geminiai
|
Robby Payne@chromeunboxed.com
//
Google is significantly enhancing its Gemini AI integration across its product ecosystem, signaling a major push to make AI a more seamless part of users' daily digital experiences. The Gemini app has received a visual refresh with a new, colorful icon that aligns it with Google's core branding, appearing on both Android and iPhone devices. This updated branding signifies Gemini's growing importance within Google's suite of services.
In addition to the visual update, Google is rolling out a more functional Android widget for Gemini. This widget is designed to offer users quicker and more intuitive access to Gemini's AI capabilities directly from their homescreen. These improvements highlight Google's commitment to deepening AI integration, making Gemini more accessible and useful across its platforms. Furthermore, Gemini's capabilities are expanding to Wear OS, with support beginning to roll out to smartwatches. Beyond app and device integrations, Google continues to advance Gemini's features. The company has introduced a new photo-to-video feature powered by its Veo 3 AI model, allowing users to transform static images into short video clips with AI-generated sound. This feature, now available through the Gemini app, expands creative possibilities. Google is also making strides in professional applications, with advancements in Google Meet's AI note-taking for smarter summaries and enhanced host controls, and the Vertex AI Agent Engine offering Memory Bank for persistent agent conversations, further solidifying Gemini's role as a versatile AI assistant. Recommended read:
References :
Ellie Ramirez-Camara@Data Phoenix
//
Google's Gemini app is now offering a powerful new photo-to-video feature, allowing AI Pro and Ultra subscribers to transform still images into dynamic eight-second videos complete with AI-generated sound. This enhancement, powered by Google's advanced Veo 3 AI model, has already seen significant user engagement, with over 40 million videos generated since the model's launch. Users can simply upload a photo, provide a text prompt describing the desired motion and any audio cues, and Gemini brings the image to life with remarkable realism. The results have been described as cinematic and surprisingly coherent, with Gemini demonstrating an understanding of objects, depth, and context to create subtle camera pans, rippling water, or drifting clouds while maintaining image stability. This feature, previously available in Google's AI filmmaking tool Flow, is now rolling out more broadly across the Gemini app and web.
In parallel with these advancements in creative AI, Google Cloud is enabling companies like Jina AI to build robust and scalable systems. Google Cloud Run is empowering Jina AI to construct a secure and reliable web scraping system, specifically optimizing container lifecycle management for browser automation. This allows Jina AI to efficiently execute large models, such as a 1.5-billion-parameter model, directly on Cloud Run GPUs. This integration highlights Google Cloud's role in providing the infrastructure necessary for cutting-edge AI development and deployment, ensuring that organizations can handle complex tasks with enhanced efficiency and scalability. Furthermore, the broader impact of AI on the technology industry is being underscored by the opening of the 2025 DORA survey. DORA research indicates that AI is fundamentally transforming every stage of the software development lifecycle, with a significant 76% of technologists relying on AI in their daily work. The survey aims to provide valuable insights into team practices and identify opportunities for growth, building on previous findings that show AI positively impacts developer well-being and job satisfaction when organizations adopt transparent AI strategies and governance policies. The survey encourages participation from technologists worldwide, offering a chance to contribute to a global snapshot of the AI landscape in technology teams. Recommended read:
References :
Alexey Shabanov@TestingCatalog
//
Google is aggressively integrating its Gemini AI model across a multitude of platforms, signaling a significant push towards embedding AI into everyday technologies. The initiatives span from enhancing user experiences in applications like Google Photos to enabling advanced capabilities in robotics and providing developers with powerful coding tools via the Gemini CLI. This widespread integration highlights Google's vision for a future where AI is a seamless and integral part of various technological ecosystems.
The integration of Gemini into Google Photos is designed to improve search functionality, allowing users to find specific images more efficiently using natural language queries. Similarly, the development of on-device Gemini models for robotics addresses critical concerns around privacy and latency, ensuring that robots can operate effectively even without a constant internet connection. This is particularly crucial for tasks requiring real-time decision-making, where delays could pose significant risks. Furthermore, Google's release of the Gemini CLI provides developers with an open-source AI agent directly accessible from their terminal. This tool supports various coding and debugging tasks, streamlining the development process. Additionally, Gemini models are being optimized for edge deployment, allowing for AI functionality in environments with limited or no cloud connectivity, further demonstrating Google's commitment to making AI accessible and versatile across diverse applications. Recommended read:
References :
Emilia David@AI News | VentureBeat
//
Google's Gemini 2.5 Pro is making waves in the AI landscape, with claims of superior coding performance compared to leading models like DeepSeek R1 and Grok 3 Beta. The updated Gemini 2.5 Pro, currently in preview, is touted to deliver faster and more creative responses, particularly in coding and reasoning tasks. Google highlighted improvements across key benchmarks such as AIDER Polyglot, GPQA, and HLE, noting a significant Elo score jump since the previous version. This newest iteration, referred to as Gemini 2.5 Pro Preview 06-05, builds upon the I/O edition released earlier in May, promising even better performance and enterprise-scale capabilities.
Google is also planning several enhancements to the Gemini platform. These include upgrades to Canvas, Gemini’s workspace for organizing and presenting ideas, adding the ability to auto-generate infographics, timelines, mindmaps, full presentations, and web pages. There are also plans to integrate Imagen 4, which enhances image generation capabilities, image-to-video functionality, and an Enterprise mode, which offers a dedicated toggle to separate professional and personal workflows. This Enterprise mode aims to provide business users with clearer boundaries and improved data governance within the platform. In addition to its coding prowess, Gemini 2.5 Pro boasts native audio capabilities, enabling developers to build richer and more interactive applications. Google emphasizes its proactive approach to safety and responsibility, embedding SynthID watermarking technology in all audio outputs to ensure transparency and identifiability of AI-generated audio. Developers can explore these native audio features through the Gemini API in Google AI Studio or Vertex AI, experimenting with audio dialog and controllable speech generation. Google DeepMind is also exploring ways for AI to take over mundane email chores, with CEO Demis Hassabis envisioning an AI assistant capable of sorting, organizing, and responding to emails in a user's own voice and style. Recommended read:
References :
Tripty@techvro.com
//
Google has begun rolling out automatic email summarization powered by its Gemini AI model within the Gmail mobile app. This new feature aims to streamline the process of reviewing lengthy email threads by providing a concise summary at the top of the message content, without requiring manual activation. The Gemini-generated summaries are designed to help users quickly grasp the main points of an email thread, especially when dealing with complex or multi-reply conversations. This initiative reflects Google's broader strategy to integrate AI more seamlessly across its Workspace applications to enhance user productivity and efficiency.
The automatic summarization feature is currently available for English-language emails on Android and iOS devices, specifically for Google Workspace Business and Enterprise users, as well as Google One AI Premium subscribers. As new replies are added to an email thread, the summaries are dynamically updated to reflect the latest information. Users who prefer manual control can collapse the summary cards if they find them unhelpful, and they can still use the "Summarize this email" button for messages where the automatic feature isn't triggered. This rollout follows Google's push to embed Gemini across its products. Google emphasizes its commitment to user data protection and privacy with this AI integration. Users need to have smart features and personalization turned on in Gmail, Chat, and Meet, as well as smart features in Google Workspace. This new capability has been generally available since May 29, 2025. While it is currently limited to mobile devices, Google may consider expanding the feature to desktop users in the future. Google also has indicated that they plan to add more languages at a later date. Recommended read:
References :
@www.searchenginejournal.com
//
References:
Search Engine Journal
, WhatIs
,
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:
References :
Eric Hal@techradar.com
//
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:
References :
@cloud.google.com
//
References:
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:
References :
@www.theapplepost.com
//
References:
Ken Yeung
, Shelly Palmer
,
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:
References :
Scott Webster@AndroidGuys
//
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:
References :
Scott Webster@AndroidGuys
//
References:
PCMag Middle East ai
, www.tomsguide.com
,
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:
References :
Scott Webster@AndroidGuys
//
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:
References :
Scott Webster@AndroidGuys
//
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:
References :
Andrew Hutchinson@socialmediatoday.com
//
References:
felloai.com
, www.socialmediatoday.com
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:
References :
@cloud.google.com
//
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:
References :
Giovanni Galloro@AI & Machine Learning
//
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:
References :
|
BenchmarksBlogsResearch Tools |