#eli5 #federatedlearning Federated Learning is a cool way to teach computers new skills without having to move all the data they learn from into one place. Imagine a bunch of kids in different playgrounds, each playing with their own toys and learning how to build sandcastles. Instead of bringing all their toys to one playground to share what they've learned, each kid learns to build a sandcastle in their own playground. In Federated Learning, each "playground" is actually a device like a smartphone or a computer. These devices each have their own data (like photos, messages, or app usage), but instead of sending all this private data over the internet to a big computer (which could be risky for privacy), the learning happens right on the device. Here’s how it works: ----------------------- 1. Starting Off: A central system (like a teacher) sends out the same basic lesson plan on how to build a sandcastle to all devices. 2. Learning Locally: Each device (like each kid in their playground) practices building their sandcastle using their own toys (data). This way, they improve the lesson plan a little bit based on what works best with their toys. 3. Sharing Improvements: Once they figure out some cool tricks, instead of sending their toys to the teacher, they just send back their new building tips (a summary of what they learned). 4.Updating the Lesson Plan: The central system gathers all these tips from different devices and makes the lesson plan better. Then, it sends this updated plan back to all devices. 5. Repeat: This process repeats, with the lesson plan getting better and better each time, without ever needing to move the toys from their playgrounds. This method is super useful because it protects everyone’s privacy while still helping all devices learn better and faster together. It’s like having a giant, shared learning experience without any risk of losing or exposing your own toys! #datascience #ai
Yusuf Khan’s Post
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Fall is back-to-school time for many students in the Northern Hemisphere (including my own kids!). With students back in class, here’s a look at how innovative #GenerativeAI tools are supporting their learning journey. From elementary school to higher education, AI is not just a tool — it’s a partner in learning and offers personalized support to students. Students are using AI-enabled learning accelerators like Reading Coach to practice reading, speaking, and language skills. AI-enabled educational bots built on Microsoft #Azure #OpenAI Service are also gaining popularity in classrooms and campuses around the world. Check out the blog below to learn more about how students and educators say AI is transforming the learning experience and making a difference in global education. https://lnkd.in/gPE7EwdK #msftadvocate #microsofteducation #artificialintelligence #AI Microsoft Education
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Google for Education is empowering the future of learning with AI. 🚀 We're thrilled to introduce Gemini for Google Workspace to educators and students 18+, integrating cutting-edge generative AI directly into familiar tools like Docs and Gmail. 💡 Imagine lesson plans effortlessly drafted, emails summarized in seconds, and presentations brought to life with AI-generated visuals. That's just the start! 🤯 Gemini is designed to be a collaborative thought partner, sparking creativity, personalizing learning, and saving valuable time. 🤝 Plus, we're prioritizing data privacy and security with new protections for student accounts. 🛡️ Curious to learn more? Join us for a webinar on May 23rd to explore the possibilities! #GoogleForEducation #AIinEducation #FutureofLearning
Bringing Gemini to Google Workspace for Education
blog.google
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I recently came across a fascinating blog on Microsoft's news platform that highlights how students are harnessing the power of AI to redefine their learning experiences. The post, "Smart Ways Students Are Using AI," is a compelling showcase of innovation at the intersection of education and technology. Key takeaway? AI isn't just about the future—it's actively reshaping the present. Students are using AI-driven tools to personalize learning, streamline research, and even co-create content, demonstrating a remarkable blend of creativity and technical acumen. For instance, AI is being utilized to generate study resources tailored to individual learning styles, making education more accessible and effective. But what truly stands out is the empowerment this technology offers. By automating repetitive tasks and providing deeper insights into complex subjects, AI allows students to focus on critical thinking and problem-solving—skills that are invaluable in today's fast-paced world. It's a perfect example of technology enhancing human potential, not replacing it. From my perspective as an Data Scientist, this evolution is more than just impressive; it’s necessary. As AI continues to advance, it’s crucial that we support and encourage its ethical and effective use in education. The next generation isn’t just learning from AI; they’re shaping it—and that’s something worth celebrating. 🎉 Kudos to the students leading the way and to the educators fostering this environment of innovation. The future of learning is here, and it’s AI-powered! https://lnkd.in/gJ8Ujb-u #AI #Education #Innovation #FutureofLearning #EdTech
Smart ways students are using AI
news.microsoft.com
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🌟 Exciting News! 🌟 I am thrilled to share that our paper, "On the Power of Interactive Proofs for Learning" has been published and presented at STOC 2024 last week! 📝🔬 In simple terms, our research focuses on making machine learning verification faster and more efficient. Here's a quick overview: 🔹 Verification of Learning: We introduce a method to quickly check if a machine learning program has learned correctly, without needing to retrain it from scratch. 🔹 Efficient Checking: Think of it like a "cheat sheet" that allows for rapid verification. 🔹 Interactive Questioning: Similar to a teacher asking a student questions, our method involves a back-and-forth process to prove correct learning. 🔹 Focus on Patterns: We specifically look at how to efficiently learn and verify important patterns in data, which are crucial for making accurate decisions. 🔹 Saving Time and Resources: Our approach aims to make machine learning verification more efficient, using less computational power and data. 🔹 Building Trust: By quickly verifying learning, we can trust AI decisions more, which is essential as AI is used in more critical applications. In technical terms, we develop new protocols for verifying learning algorithms, focusing on heavy Fourier characters and introducing doubly-efficient proof systems. Our work provides general tools for PAC-verification and explores the computational complexity of these tasks. These results have significant implications for both theoretical computer science and machine learning, contributing to more reliable and trustworthy AI systems. This research was part of my master's studies at SFU, where I had the privilege of working under the guidance of my supervisor, Igor Shinkar. I am immensely grateful for his support and invaluable insights throughout this journey. I would also like to extend my heartfelt gratitude to my co-authors and everyone who supported us along the way. I am truly grateful to be a part of such a dedicated and talented team. 🙏 🙏 You can read the full paper here:
On the Power of Interactive Proofs for Learning | Proceedings of the 56th Annual ACM Symposium on Theory of Computing
dl.acm.org
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👩💻 First module of the AI for educators learning path with Microsoft Learn complete: 'Empower educators to explore the potential of artificial intelligence'. The opportunities were neatly summed-up in an infographic with the headings I've copied below and some use cases I've already tried and had success in: 🍎 Accelerate learning - using image generators to conclude a topic on 'Journey's End'. After a brief lesson in prompt engineering, students had to build a character profile using relevant quotations to support and capture the image produced. 🍎 Inclusively designed - Reading Coach for lower ability Year 9: a great way for students to practise privately and rehearse tricky words 🍎 Improve efficiency - a godsend in creating MCQs to copy into a Microsoft Quiz and get build data on a student's performance through Teams 🍎 Prepare learners for the future - promoting responsible use with in-class trials using chatbots and getting a lie of the land with proficiency levels Next module is swiftly underway: 'Enhance teaching and learning with Microsoft Copilot'
Empower educators to explore the potential of artificial intelligence
learn.microsoft.com
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Don't want AI to replace you? Here are 20+ FREE courses with certifications to help you upskill 👇 [Link in the comments] 1. AI for everyone by DeepLearning.AI 2. AI fundamentals in 10 hours by IBM [multiple courses] 3. GenAI and ML learning paths by Google [multiple courses] 4. AI for students by IBM [multiple courses] 5. 12 days no cost GenAI training by Google [multiple courses] 6. 18 lessons on building GenAI apps by Microsoft [multiple courses] ---- < Experiment: Used a meme to make learning more entertaining! > I hope it helped you! Help people in your network by liking and reposting this post ❤️ It inspires me to do more for the community. Follow Bhavishya Pandit to stay updated on GenAI! 🔥
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I was part of the team at Microsoft that helped transition students to online learning during the pandemic. 🎒 If there’s one thing I learned from that is there are some serious vulnerabilities in the current education system. If students could learn and go to school online, why couldn’t they use Generative AI (and other digital tools for that matter) to enhance their education? Some fear that students will use AI to “cheat” The truth is some probably will. But that doesn’t mean we need to be afraid of AI. Students can use these tools to deepen their understanding of complex topics and enhance their problem solving skills. Yes — AI can come up with some really cool and unique ideas. But it’s up to the student to understand it, refine it, and further use the tool to expand these ideas. Just like a hammer is a really great tool to build a house. 🔨 It still needs the hand of a skilled carpenter to use it.
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Learning how to use AI responsibly is an essential skill in today's digital world! 🤖📣 Start the conversation about #AIinEdu safety in your #K12 classroom with this toolkit from Microsoft Education: https://hubs.la/Q02mz1hS0 #TeachingWithAI #AIinEducation #MicrosoftEdu #StudentSafety
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Excited about enhancing AI security with 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗦𝗮𝗳𝗲𝘁𝘆! ✨ Attended an insightful webinar by IEEE Computer Society Student Branch Chapter of IIT & Microsoft Learn Student Ambassadors - Sri Lanka , exploring Safe AI Applications with Azure Content Safety and OpenAI Discovered AI's role in online safety, Azure OpenAI Studio practices, and more. Grateful to Nandun Diaz for sharing valuable insights and facilitating interactive learning! #azureai #OpenAI #IEEECS #IIT #ContentSafetyIIT
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I am wondering what people are using these days for virtual learning classes, PD, and interactions for engagement. I have my tried and true methods, but always want to keep learning. I am running a 90 minute session for educators on AI. I have 3 30 minute mini learning labs so they can opt in or out based on interest and application. I will be streaming from my device to their school. They are all in one place looking at a projector, but will have their devices. We have all been in these situations and even if content is good this is not ideal learning to be in this type of environment. To increase engagement, sharing of ideas, and gather participation insights, ideas, etc. throughout what are you using that you have found helpful? To have them walk up to camera will lead to little interaction. They also won't come up to main computer and type comments. I need other ideas and curious what people are using that they have found to be worth the time.
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