Google's top Gemini AI feature may soon be integrated into your daily applications.

      Deep Research expands beyond Google applications with the new Interactions API

      Google has recently enhanced Gemini Deep Research, its most advanced AI research agent, and this upgrade extends beyond its own products. Google announces that its AI features will soon be integrated into the everyday applications you already utilize. With the introduction of the Interactions API, Deep Research is no longer exclusive to Google; it can now be embedded directly into third-party applications, paving the way for many mobile tools to quietly incorporate significantly more powerful AI.

      Gemini Deep Research is tailored for extensive and complex tasks that many chatbots often find challenging. Rather than simply responding to a single query, it functions like an actual researcher. It determines what information is necessary, searches online, reviews the results, spots knowledge gaps, and continues its search until it compiles a comprehensive, well-cited answer. It employs Gemini 3 Pro as its reasoning engine, which Google claims is its most factually accurate model yet, designed to minimize inaccuracies during prolonged, multi-step tasks.

      How the upgrade benefits your applications

      With the Interactions API, any developer can now integrate this research agent into their applications. Deep Research can analyze uploaded documents, merge them with publicly available web data, and generate structured reports complete with citations. Developers can also specify the final output's structure, request tables or formatted sections, or receive results in JSON for automation purposes. Such functionalities make the AI ideal for automated analysis tools, financial workflows, scientific research assistants, or knowledge applications.

      Because this feature is now accessible to developers, your preferred applications—like finance, study, and productivity tools—can start using Deep Research in the background. As Google works on integrating Deep Research into apps like Search and Gemini, you may see richer, more comprehensive answers without the need for personal research. Instead of manually verifying multiple sources or toggling between tabs, your apps could soon autonomously compile verified information.

      Google is also planning to directly incorporate this technology into products such as Google Search, NotebookLM, Google Finance, and the Gemini app. As this technology discreetly integrates into the applications you already count on, the notion of conducting research may soon feel less burdensome, resembling a task your phone can handle for you.

      Manisha enjoys covering technology aspects of everyday life, spanning smartphones and apps to gaming and streaming.

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      Milo navigates steps with ease.

      Most delivery robots designed for streets resemble compact, wheeled vehicles with secure compartments for parcels. However, one significant limitation these devices face is their inability to manage obstacles like stairs, rough terrain, or other challenging surfaces, which hinders direct access to an individual's front door.

      Your AI chatbot wants your help in saving the planet…by increasing your purchases

      Recent studies indicate that commonly used AI tools are subtly contributing to an uptick in global emissions.

      With artificial intelligence increasingly integrated into our daily lives through everything from smartphones to smart speakers, distinguishing where the technology ends and our choices begin is becoming increasingly difficult. A new study from researchers at the University of Queensland and UNSW highlights this issue, cautioning that the "AI-ification" of everyday life is silently driving up global emissions—not only through energy consumption but by conditioning us to make more purchases.

      Your next Intel laptop could improve gaming performance significantly without a GPU

      Intel’s forthcoming integrated graphics, the Arc B370, recently surfaced in a benchmark leak, revealing impressive figures for a chip integrated directly on the CPU. Detected within an engineering sample of the Core Ultra 5 338H (part of the upcoming Panther Lake series), the chip achieved a score of 2,383 points on FurMark’s 1440p OpenGL test.

      To put this into context, this integrated chip outperforms Intel’s actual desktop graphics card, the Arc A380, by 33% and is 70% faster than the current Lunar Lake chips. Even more remarkable? It accomplished this while consuming just 36W of power, operating at a cool 2.3 GHz.