Samsung unveils "Invisible AI" for seamless tech integration

Model Compression & Quantization = AI on a Diet Big models are heavy, slow, and costly. Compression makes them lean, fast, and deployable anywhere. ⚡ Benefits: ✔️ Faster inference 🚀 ✔️ Runs on mobiles, IoT & edge devices 📱 ✔️ Lower infrastructure costs 💸 💡 Analogy: Like turning a heavyweight boxer into a lean athlete same punch, less bulk. 👉 Compression = AI that fits in your pocket. #ModelCompression #Quantization #AI #MachineLearning #EdgeAI #DeepLearning #ArtificialIntelligence #TechExplained #MLOps #AIForEveryone

Exciting Update from Mandil Ai! 🚀 As artificial intelligence continues to shape the future, here are some of the latest trends making an impact in 2025: • Generative AI is advancing rapidly, powering everything from content creation to drug discovery, with global investment in AI technologies surpassing $350 billion this year. • AI-powered automation is streamlining business processes, saving organizations up to 40% in operational costs. • Responsible AI is at the forefront, with new guidelines ensuring ethical and transparent deployment across industries. • Edge AI is enabling real-time decision-making at the source, supercharging IoT and smart devices. Mandil Ai is dedicated to keeping you informed and staying ahead of these trends to drive innovation and responsible AI adoption. #ArtificialIntelligence #MandilAi #AITrends #Innovation #AIEthics #TechNews

🌟 Introducing the Nano Banana AI Model 🍌🤖 In today’s world, AI doesn’t always have to be massive to be powerful. The Nano Banana AI Model is proof that small can be mighty — delivering high performance in a compact, energy-efficient, and scalable design. With ultra-lightweight architecture, faster inference, and privacy-first deployment, this model is built to make AI accessible everywhere — from smartphones to IoT devices, from agriculture to healthcare. 🚀 Whether you’re a startup innovating on the edge or an enterprise scaling AI across ecosystems, the Nano Banana AI Model unlocks a new era of efficiency and impact. 👉 Explore the key features below and imagine the possibilities of AI without limits. #AI #Innovation #EdgeAI #MachineLearning #NanoBanana #TechForGood #ArtificialIntelligence #FutureOfAI

🚀 TinyML in 2025: Intelligence at the Edge Tiny Machine Learning is no longer a lab experiment — it’s everywhere: from medical wearables to smart factories to everyday gadgets. 🔑 What’s new in 2025? 1️⃣ Models now fit in kilobytes (no loss in accuracy) 2️⃣ Millisecond inference: speech, sensors, anomaly detection 3️⃣ Rapid adoption: healthcare, IoT, automotive, consumer tech ⚡ Why care? • Instant decisions, no cloud latency • Ultra-low power — months on coin cell batteries • Local privacy — your data never leaves the device At EmbeddedMind, we help teams go from prototype to production, with hands-on TinyML deployments in Europe’s toughest industries. 💡 Which industry will TinyML transform next? Drop your thoughts—or DM to discuss how to make it real in your products. #MachineLearning #NYCtech #SFtech #EmbeddedSystems

𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐭𝐚𝐥𝐤𝐬 𝐚𝐛𝐨𝐮𝐭 𝐀𝐈. 𝐅𝐞𝐰 𝐤𝐧𝐨𝐰 𝐰𝐡𝐚𝐭 𝐢𝐭 𝐫𝐞𝐚𝐥𝐥𝐲 𝐭𝐚𝐤𝐞𝐬 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐢𝐭 𝐰𝐨𝐫𝐤 𝐢𝐧𝐬𝐢𝐝𝐞 𝐚 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠. Last week, we asked: 👉 “Do you use AI/ML in your building systems?” Today, we’re going deeper. From market insights to real-world tech: Here’s what’s really happening behind the scenes and what it takes to make AI in buildings actually work. 👇 𝑆𝑤𝑖𝑝𝑒 𝑡ℎ𝑟𝑜𝑢𝑔ℎ 𝑎𝑛𝑑 𝑠𝑒𝑒 ℎ𝑜𝑤 𝑤𝑒 𝑎𝑡 𝑖𝑡ℎ𝑖𝑛𝑥 ℎ𝑒𝑙𝑝 𝑡𝑢𝑟𝑛 𝑝𝑜𝑡𝑒𝑛𝑡𝑖𝑎𝑙 𝑖𝑛𝑡𝑜 𝑠𝑒𝑐𝑢𝑟𝑒, 𝑠𝑐𝑎𝑙𝑎𝑏𝑙𝑒 𝑠𝑜𝑙𝑢𝑡𝑖𝑜𝑛𝑠. 💬 What’s your take, is AI already delivering real value in buildings, or are we just getting started? Let us know in the comments. #ThursdayInsights #AIinBuildings #SmartBuilding #EmbeddedSystems #ithinx #MachineLearning #IoT #PropTech #TechThatWorks

Is your cutting-edge AI model too chunky for your edge device? 🚀 Deploying sophisticated AI on resource-constrained hardware like IoT devices or smartphones is a constant battle between accuracy and efficiency. Full-precision models (FP32) are often too slow and memory-hungry, guzzling power and precious processing cycles. Enter Model Quantization. This isn't just a trick; it's a fundamental optimization technique. It shrinks your model by converting floating-point numbers to lower-precision integers (e.g., INT8) with minimal accuracy loss. Imagine a 4x reduction in model size and 2-4x faster inference! ⚡️ Here’s how you can implement this growth hack: • Post-training quantization (PTQ): Convert your already-trained model. It’s quick and simple to apply. • Quantization-aware training (QAT): Integrate the quantization process directly into your training loop for even better accuracy retention. More complex, but often yields superior results. This technique unlocks real-time processing and extended battery life on the edge, pushing AI further into the physical world.🔋🌍 What's the biggest challenge you've faced deploying AI models to edge devices?

What happens when everyday essentials meet cutting-edge AI? 💡 Imagine asking ChatGPT the best way to use your TRESemmé Keratin Repair Shampoo, then turning to Alexa for a real-time update on how much you have left. (Spoiler: you’re at 58%!) It’s powered by innovators like Adrich.io, whose IoT + AI platform transforms everyday products into smart, connected experiences. From real-time usage tracking to intelligent replenishment, they’re reshaping how brands understand and serve their customers. This is the future of smart living: routines powered by seamless AI integration, giving you answers and keeping you connected to the products you rely on. #SmartTech #AIIntegration #ConnectedLiving #TRESemmé #FutureOfEveryday #TechInnovation #Adrich

🚀🤖 By 2026, AI could automate up to 70% of everyday work tasks ➡️ freeing us to focus on creativity, strategy & human connection. 💡 From Low-code/No-code tools ➔ to AI-native Operating Systems ➔ to Smart wearables that know you ➔ to Brain–computer interfaces ➔ the future of work is no longer distant, it’s arriving faster than we think. 💥 16 Technology Trends Shaping 2026: ➊ Low-Code/No-Code Development ➋ AI-Crafted XR Experiences ➌ Smart Infrastructure & IoT 2.0 ➍ Privacy-First AI & Local Processing ➎ Workflow Automation at Scale ➏ AI-Enhanced Robotics in Retail & Logistics ➐ AI-Native Operating Systems ➑ Intelligent Wearables ➒ Quantum Computing Nears Utility ➓ AR Glasses Replace Screens ⓫ AI-Personalized Healthcare ⓬ Edge AI Chips Everywhere ⓭ AI-Powered Home Assistants ⓮ Humanoid Robots Go Commercial ⓯ AI Agents That Work for You ⓰ Brain–Computer Interfaces 👉 The question isn’t if AI will reshape our lives, but how ready we are to embrace it⁉️ Credit: Dr. Khulood Almani

We’re excited to share that RETHINK Retail has named David Polinchock, Co-Founder and President of Unified Brand Experience Lab, to its Top AI Leaders in Retail 2026 list! This recognition underscores the groundbreaking work happening across the Brand Experience Lab and Invigo teams as we integrate AI into physical retail—creating better experiences for both consumers and retailers while driving measurable ROI. Our team is focused on developing and deploying technologies that move the industry forward, including: 🟢 Synthetic data models that train smarter, more resilient AI systems 🟢 Retail situational intelligence that combines computer vision, IoT, and immersive tech to enhance in-store engagement and operational efficiency 🟢 Sustainability-driven solutions that reduce waste, optimize supply chains, and improve customer journeys We’re proud of the collective innovation driving these advancements and thrilled to see it recognized on a global stage. Congratulations to David on being included among this year’s leaders—and thank you to RETHINK Retail for spotlighting those who are shaping the AI future of retail. See the full list and learn more about Rethink Retail's AI in Retail here: https://lnkd.in/ePF_y566 #RetailTech #AI #SyntheticData #FutureOfRetail #computervision #IoT #immersivetech