News from the AI & ML world
DeeperML - #googlesearch
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@learn.aisingapore.org
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References:
The Official Google Blog
, bsky.app
Google is significantly enhancing its search capabilities through deeper integration of artificial intelligence. Google Search Console will now display data related to AI Mode performance, offering insights into how AI impacts search visibility, although detailed breakdowns will not be available. These changes reflect Google's ongoing efforts to incorporate AI into various aspects of its platform, aiming to provide users with more advanced and intuitive search experiences.
Google is also tackling the challenge of content authenticity in the age of AI with the introduction of SynthID Detector, a verification portal designed to identify content created using Google's AI tools. This tool aims to provide transparency in the rapidly evolving media landscape by allowing users to upload media files and scan them for SynthID watermarks. If detected, the portal highlights the portions of the content most likely to be watermarked, helping to distinguish between AI-generated and original content. This initiative builds upon Google's earlier work with SynthID, which embeds imperceptible watermarks into AI-generated content to minimize misinformation and misattribution. Beyond search and content verification, Google is expanding its AI integration into new areas, showcasing Android XR glasses powered by Gemini. This development highlights Google's vision for the future of augmented reality and the potential of AI to enhance user experiences in wearable technology. The company recently unveiled updates to the Gemini app, including access to Imagen 4 and Veo 3. Veo 3 is an AI video model that is considered one of the best. These advances underscore Google's commitment to remaining at the forefront of AI innovation and its ambition to seamlessly integrate AI across its ecosystem. Recommended read:
References :
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:
References :
@the-decoder.com
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Google is integrating its Gemini AI model deeper into its search engine with the introduction of 'AI Mode'. This new feature, currently in a limited testing phase in the US, aims to transform the search experience into a conversational one. Instead of the traditional list of links, AI Mode delivers answers generated directly from Google’s index, functioning much like a Gemini-powered chatbot. The search giant is also dropping the Labs waitlist, allowing any U.S. user who opts in to try the new search function.
The AI Mode includes visual place and product cards, enhanced multimedia features, and a left-side panel for managing past searches. This provides more organized results for destinations, products, and services. Users can ask contextual follow-up questions, and the AI Mode will populate a sidebar with cards referring to the sources it's using to formulate its answers. It can also access Google's Shopping Graph and localized data from Maps. This move is seen as Google's direct response to AI-native upstarts that are recasting the search bar as a natural-language front end to the internet. Google CEO Sundar Pichai is hopeful to have an agreement with Apple to have Gemini as an option as part of Apple Intelligence by middle of this year. The rise of AI in search raises concerns for marketers. Organic SEO tactics built on blue links will erode and there will be a need to prepare content for zero‑click, AI‑generated summaries. Recommended read:
References :
@developers.googleblog.com
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Google is aggressively advancing AI agent interoperability with its new Agent2Agent (A2A) protocol and development kit. Unveiled at Google Cloud Next '25, the A2A protocol aims to standardize how AI agents communicate, collaborate, and discover each other across different platforms and tasks. This initiative is designed to streamline the exchange of tasks, streaming updates, and sharing of artifacts, fostering a more connected and efficient AI ecosystem. The A2A protocol complements existing efforts by providing a common language for agents, enabling them to seamlessly integrate and normalize various frameworks like LangChain, AutoGen, and Pydantic.
The Agent2Agent protocol introduces the concept of an "Agent Card" (agent.json), which describes an agent's capabilities and how to reach it. Agents communicate through structured messages, indicating task states such as working, input-required, or completed. By establishing this open standard, Google, along with partners like SAP, seeks to enable agents from different vendors to interact, share context, and collaborate effectively. This move represents a significant step beyond simple API integrations, laying the groundwork for interoperability and automation across traditionally disconnected systems. The development of A2A aligns with Google's broader strategy to solidify its position in the competitive AI landscape, challenging rivals like Microsoft and Amazon. Google is not only introducing new AI chips, such as the Ironwood TPUs, but also updating its Vertex AI platform with Gemini 2.5 models and releasing an agent development kit. This comprehensive approach aims to empower businesses to turn AI potential into real-world impact by facilitating open agent collaboration, model choice, and multimodal intelligence. The collaboration with SAP to enable AI agents to securely interact and collaborate across platforms through A2A exemplifies this commitment to enterprise-ready AI that is open, flexible, and deeply grounded in business context. Recommended read:
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