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Watch this Gemini 2.5 Flash Image (aka Nano Banana 🍌) tutorial from Google DeepMind DevRel Engineer Patrick Löber, and start integrating the model into your apps.

💻 Google is bringing a Mac-style Spotlight experience to Windows. The tech giant has released a new experimental Windows desktop app that allows users to quickly find files, apps, and even web results, all from a sleek, pill-shaped search bar activated with Alt + Space. Unlike the standard Windows search, this tool goes further by pulling results from local files, Google Drive, and the web, neatly sorted into categories like Apps, Websites, and Local Files. But that’s not all: Google Lens integration lets users capture text or images for instant translation, copying, or research. AI Mode delivers conversational, context-rich answers to complex questions. Customisable shortcuts + dark mode make it user-friendly. Currently, the app is limited to US English users on Windows 10 and above via Google’s Search Labs, but it signals Google’s push to merge local search, cloud access, and AI features into one productivity tool. Read the full breakdown and what this could mean for the future of desktop search: https://lnkd.in/d4UfN6bM Would you switch from Windows search to Google’s AI-powered Spotlight alternative? Drop your thoughts in the comments! Follow us 👉 Techpression for more updates on AI tools, productivity apps, and the future of search. #Google #Windows #AI #ProductivityTools #SearchInnovation #TechNews #GoogleLens #ArtificialIntelligence #DigitalWorkspace

📱 Debugging mobile apps is often where projects lose the most time. But Microsoft’s new Copilot-powered debugging features for .NET in Visual Studio are showing us what happens when AI becomes your everyday pair programmer. Now developers can: ✅ Get context-aware breakpoint suggestions that speed up issue discovery. See AI summaries of exceptions with targeted fix suggestions. ✅ Use Auto Insights to spot CPU bottlenecks and performance drains before they ship to production. ✅ Even hover over LINQ statements to have Copilot explain what’s happening under the hood. For mobile devs juggling multiple frameworks, SDK quirks, and ever-changing OS requirements, this isn’t just nice-to-have — it’s a productivity multiplier. 👀 Imagine your debugging workflow taking minutes instead of hours. That’s less time fighting crashes and more time building features your users actually see. Would you trust AI to suggest the first fix in your next debugging session?

This is the easiest way to use multimodal LLM entirely on your phone! 100% Free, Local, and without internet. Google just dropped the AI Edge Gallery app on the Play Store that lets you run Gemma 3n model directly on Android devices without any internet connection. Key Features: → Models run entirely on your device using local processing power → AI Chat for conversations, Ask Image for visual analysis, Audio Scribe for transcription → All data stays on your device, never sent to cloud servers → Summarize, rewrite, generate code, or use freeform prompts to explore single-turn LLM use cases → Android available now, iOS coming soon The team also plans to add more features to the app, including on-device function-calling and RAG. Google AI Edge Gallery stays 100% open-source on GitHub. Check out the app: https://lnkd.in/dedeiZZJ More such AI projects and tools in theunwindai.com. Get access to 75+ AI Agent, RAG, LLM, and MCP tutorials with opensource code - All for FREE.

🚀 Copilot just went truly cross-platform with GPT-5. For mobile developers, this is a big deal. With the universal rollout, Microsoft Copilot now delivers GPT-5 across web, Windows, macOS, AND mobile — meaning the same deeper reasoning and Smart Mode are available wherever you’re building. Why does this matter for cross-platform teams? 👉 No more compromises between desktop vs. mobile tooling. 👉 Smart Mode adapts in real time, so whether you’re debugging a Flutter project on desktop or brainstorming UI flows on your phone, the AI adjusts. 👉 Richer image generation and more polished summaries help bridge design + dev conversations across distributed teams. The leap isn’t radical — think refinement, not reinvention. But for developers who live in multi-device workflows, GPT-5’s everywhere-accessibility might be the most impactful change yet. How are you thinking about using GPT-5 across your mobile + desktop workflows?

✨ Students! Unlock 1 Month of Comet Pro – Free Access 🎓 Research and learning shouldn’t feel overwhelming. That’s why I’m excited to share Comet — a next-generation search engine built to give students smarter, faster, and distraction-free results. 🔑 Here’s how you can claim your free access (2–5 minutes): 1️⃣ Visit → https://lnkd.in/gHBcS4ji 2️⃣ Download Comet (desktop version) 3️⃣ Verify your student email via SheerID 4️⃣ Submit your first query → Pro access unlocked instantly 🚀 📹 A short video guide is also available to walk you through the process step by step. 🌐 Plus, if you’d like to keep receiving updates on AI tools, job opportunities, and learning resources, you can join our WhatsApp community here: 👉 https://lnkd.in/gyvTSgxF  🔍 Comet is currently available for desktop (Windows & Mac). The mobile app is under development and will be available soon. #Comet #AI #ArtificialIntelligence #Students #EdTech #Learning #Research #Innovation #FutureOfWork #TechForEducation #AItools #Productivity #StudentLife #AcademicResearch #DigitalLearning Perplexity

Google launches AI desktop app to challenge Windows search • Google launched an experimental Windows desktop app Tuesday that enables users to search local files, apps, Google Drive, and the web using Alt + Space, directly challenging Microsoft’s native Windows Search functionality. • The app integrates Google Lens for visual search capabilities, allowing users to select and search anything on their screen for translations, homework help, or object identification—marking the first time this technology is available as a native Windows feature. • AI Mode powered by Google’s Gemini 2.5 model provides advanced conversational search with follow-up questions, using a “query fan-out” technique that breaks complex queries into subtopics and searches multiple sources simultaneously. • The experimental app mirrors Apple’s Spotlight search functionality but leverages Google’s superior web search algorithms, positioning it as a strategic move against Microsoft’s AI-enhanced Copilot integration. • Currently limited to English-speaking U.S. users with personal Google accounts on Windows 10 or newer, the app represents Google’s renewed interest in desktop applications after discontinuing Google Desktop in 2011 #ainews #aiupdates

#MicrosoftAINews #Windows ✨ Did you ever imagine right-clicking a photo and fixing it instantly—no Photoshop, no heavy apps, just Windows itself? Well… Microsoft just made that happen. 🚀 With the new Windows 11 Insider Build, File Explorer got supercharged with AI: Search the web with Bing Visual Search from your desktop. Blur or erase objects in images without leaving File Explorer. Remove backgrounds with one click in Paint. A new AI privacy dashboard shows which apps are tapping into generative AI. This isn’t just an update—it’s a glimpse of how AI is being woven into everyday tools we use without thinking twice. 💡 My takeaway? AI won’t always come with a fancy chatbot window. Sometimes, it’s just a right-click away. 👉 What’s the first thing you’d use these new AI actions for—work or fun? #AIForEveryone

Apple devs know that debugging Swift and SwiftUI can be… let’s say, “character-building.” Now, Microsoft is showing what’s possible with its Copilot-powered debugging for .NET in Visual Studio — and it sparks a thought: What if Xcode had: ✅ AI-suggested breakpoints based on runtime context? ✅ Natural-language summaries of SwiftUI errors (instead of cryptic runtime dumps)? ✅ Auto Insights that flagged CPU or memory bottlenecks in Instruments and suggested optimizations? For iOS devs, this isn’t just wishful thinking. As Copilot sets the bar in other ecosystems, pressure builds for Apple’s tooling to evolve too. 🚀 Until then, it’s a glimpse at a future where debugging Swift is less about deciphering stack traces — and more about collaborating with an AI that “knows” your app. 👉 If Xcode introduced Copilot-style debugging tomorrow, what’s the first pain point you’d want it to fix?

📱 Android devs, Copilot just got a GPT-5 infusion. With the new Smart Mode, GPT-5 now adapts to whether you’re knocking out a quick Kotlin snippet or mapping out a full app architecture. And yes — it works across mobile platforms. For Android devs specifically: ☑️ Deeper reasoning could smooth out large-scale refactoring. ☑️ More polished explanations may help junior devs ramp faster. ☑️ GitHub Copilot’s integration with GPT-5 means cleaner workflows inside Android Studio. Sure, GPT-5 may feel like a “refinement, not a revolution.” But in mobile dev, refinements compound — especially when you’re targeting stability across versions like 16 (Baklava). Curious — are you testing GPT-5 inside your Android workflow yet, or sticking with the tried-and-true Copilot defaults?