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🤖 Use AI on Your Phone — No Wi-Fi Needed

Can Schools Survive the Rise of AI?

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Welcome back to BrainBuzz

Today’s Recipes:

  • 🤖 Use AI on Your Phone — No Wi-Fi Needed

  • 📱 Samsung + Perplexity = The Next AI Power Duo?

  • ⚕️ The Future of Women’s Health Is AI-Powered

  • Meta Plans Fully AI-Run Ads by 2026

  • Can Schools Survive the Rise of AI?

  • 3 AI Mistakes That Could Hurt Your Business

  • AI Tutorial of the Day

  • And More….

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- LATEST DEVELOPMENTS -

Google launched AI Edge Gallery, an experimental app that lets users run AI models locally on Android without Wi-Fi. It supports open-source models like Google's Gemma 3n and is coming to iOS.

Details:

  1. App Launch: Google quietly released AI Edge Gallery for Android.

  2. Offline AI: Users can run AI models locally without needing an internet connection.

  3. Supported Models: Includes open-source models from Hugging Face, like Google's Gemma 3n.

  4. Features: Enables image generation, AI chat, coding, and more—all offline.

  5. Privacy & Speed: Faster responses and enhanced privacy since data stays on-device.

  6. Availability: Currently on Android via GitHub; iOS version coming soon.

Takeaway

Google AI Edge Gallery empowers users to run AI models offline, enhancing privacy and accessibility while eliminating reliance on cloud-based AI

Samsung is in talks to invest in Perplexity AI, aiming to integrate its search tech into Galaxy devices. The move could reduce reliance on Google and enhance Samsung's AI ecosystem.

Details:

  1. Investment Talks: Samsung is reportedly close to investing in Perplexity AI.

  2. AI Integration: Plans to preload Perplexity’s app and assistant on future Galaxy devices.

  3. Bixby Upgrade: Samsung may enhance Bixby with Perplexity’s AI technology.

  4. Funding Round: Perplexity seeks $500M at a $14B valuation.

  5. Google Rivalry: This move could lessen Samsung’s dependence on Google Search.

  6. Industry Shift: Signals a broader trend of tech firms diversifying AI partnerships.

Takeaway

Samsung’s potential partnership with Perplexity AI could reshape mobile AI, reducing reliance on Google and expanding AI-driven search capabilities on Galaxy devices.

AI is transforming women’s healthcare by addressing historical biases, improving diagnostics, and leveraging wearable data for personalized treatment, enhancing medical research and patient outcomes.

Details:

  1. Historical Bias: Women were often excluded from medical research until the mid-1990s, leading to delayed diagnoses and overlooked conditions.

  2. AI-Powered Diagnostics: AI enhances breast cancer detection and other women-specific health concerns.

  3. Wearable Data: AI analyzes data from wearables to provide personalized health insights.

  4. Research Expansion: AI helps uncover patterns in large datasets, improving understanding of conditions like endometriosis.

  5. Bias Challenges: AI can perpetuate biases if not carefully implemented, requiring ethical oversight.

  6. Future Potential: AI-driven healthcare could close gender gaps in medical research and treatment.

Takeaway

AI is reshaping women’s healthcare by improving diagnostics, expanding research, and addressing gender disparities, but ethical implementation is crucial for unbiased advancements.

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- MORE AI & TECH UPDATES -

Meta Platforms is set to transform digital advertising by fully automating ad creation and targeting with AI by the end of 2026…

Artificial intelligence is rapidly outpacing human intelligence in traditional academic tasks like memorization, calculation, and pattern recognition, forcing educators to rethink the purpose of education…

Many companies are rushing to adopt generative AI (GenAI), but failing to integrate it effectively…

Microsoft has announced a $400 million investment in Switzerland to enhance its cloud computing and AI infrastructure…

- POLL OF THE DAY -

Is AI making us less intelligent?

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- HOW TO AI -

In a world increasingly driven by artificial intelligence, the idea of having a personalized AI assistant is no longer a futuristic fantasy.

Key Highlights:

  • Start with a Clear Purpose.

  • Leverage No-Code and Low-Code Platforms.

  • Focus on Iterative Development.

  • Prioritize Data Privacy.

  • Embrace the Power of Prompt Engineering.

  • Consider the Ethical Implications.

- THAT’S A WRAP -

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