Uladzislau Bayouski

You need to monitor soil moisture across 500 acres of farmland. Or track 10,000 waste bins across a city. Or read gas meters in 200,000 homes without sending a truck. Wi-Fi doesn't reach. Cellular works, but the data bills for 10,000 devices sending hourly readings add up fast. Bluetooth covers about 10 metres. Unless you know about LoRaWAN. 📡 The Short Version LoRaWAN is a wireless protocol that transmits data up to 15 kilometres on a single battery charge that can last a decade . In 2026, with 125 million devices deployed globally and 25% annual growth, it's quietly becoming the connectivity backbone of smart cities, agriculture, utilities, and industrial IoT. Quick naming clarity first: LoRa — the radio technology (Chirp Spread Spectrum modulation). The road. LoRaWAN — the network protocol built on top. The traffic management system. The four-layer architecture that makes it work: End devices — sensors and trackers at the edge; transmit tiny packets every few...

In April 1970, an oxygen tank exploded on Apollo 13, 330,000 kilometres from Earth. NASA's engineers had to figure out how to bring the crew home using only what was left on the spacecraft — without being able to touch it. They did it by building an exact physical replica of the command module in Houston and running scenarios until they found one that worked. That replica saved three lives. It was also, in concept, the world's first digital twin. The idea hasn't changed. What changed is that the copy became digital, live, and connected — updating itself in real time from sensor data streaming off the physical asset it mirrors. In 2026, digital twins are running in factories, hospitals, power grids, and entire cities. And the reason they exist at all is IoT. 🔧 The Short Version A digital twin is a living virtual model of a physical asset — not a CAD file, not a dashboard, but a continuously synchronised replica that reflects the real-world state of its counterpart in ...

Just published: a fresh dive into Sensors Converge 2026 in Santa Clara! From humanoid and autonomous robots to AI-powered computer vision, smart wearables, and industrial automation, we showcase the tech transforming manufacturing, healthcare, mobility, and consumer devices. Highlights include hands-on looks at LiDAR, 3D sensing, advanced spectroscopy, and real-world deployments moving beyond prototypes. If you’re curious about how robotics and AI are being embedded into everyday solutions, this is a must-watch. Check out the full walkthrough and insights here: https://www.youtube.com/watch?v=qKBwkAJkr6g #SensorsConverge2026 #Robotics #AI #EmbeddedSystems #IoT #Automation #ComputerVision #SmartSensors #IndustrialAutomation #Wearables #Engineering #FutureTech #STEM #IoTForge #Electronics #ConnectedDevices #TechExpo #HumanoidRobot #iotforge #iotforgetechwalks

Excited to share a deep dive into Day 2 of Google I/O 2026! This video breaks down the era-defining tools and platform shifts that will shape the next wave of apps, wearables, laptops, and AI agents. From Antigravity 2.0 and Android 17 to Wear OS 7, Googlebook, Gemma 4, and the new agent-first developer stack, this recap explains why Day 2 actually stole the show for builders this year. If you’re a developer, creator, or tech strategist, this is the breakdown you don’t want to miss. Learn how Google is wiring the entire stack from Antigravity to AI Studio to Firebase and Chrome DevTools into one seamless pipeline, and why Gemma 4 and Googlebook mark a major shift for open-source AI and OS-level AI integration. Watch here: https://www.youtube.com/watch?v=HJX640E5q5s Key takeaways: - Agents at OS, browser, and watch levels are the new norm - End-to-end developer stack now functions as a single pipeline - Gemma 4’s open model with Apache 2.0 licensing quietly accelerates open-source...

Two days, ninety-plus sessions, and a quiet shift in what AI is actually for. Most people watched the smart glasses demo and the Gemini benchmarks. The headlines wrote themselves. That's the surface. Underneath it, Google quietly retired the idea of AI as an assistant and replaced it with AI as an operator. The Short Version The keyword across both days — repeated in nearly every announcement — was agent . Not chatbot. Not assistant. Software that takes an instruction, decomposes it, and operates on systems on your behalf, often without you watching. Sundar opened with the numbers that made that inevitable: 19 billion tokens per minute through Google's APIs, 2.5 billion monthly users on AI Overviews, AI Mode crossing a billion in twelve months. At that scale, the assistant model collapses. Nobody types a billion prompts. The work has to happen on its own. Day 1 — the consumer stack: Gemini 3.5 Flash — 4× faster than competing frontier models, beats Gemini 3.1 Pro on ev...

Most people discovered DeepSeek as a chatbot. Fast, capable, surprisingly cheap. That's the surface. Underneath it is a programmable AI engine that can automate research, generate content, monitor competitors, and deliver weekly intelligence reports — without a human touching a keyboard. This is what DeepSeek looks like when you go beyond the chat interface. The Short Version DeepSeek exposes two models via a simple API: DeepSeek-V3 — speed-optimised for content generation, summarisation, and data retrieval; benchmarks favourably against GPT-4o at a fraction of the cost DeepSeek-R1 — reasoning-focused, built for multi-step analysis, market research, and structured decision-making Both accessible via /v1/chat/completions . Both OpenAI-compatible — switch from OpenAI with a one-line change. Three prompt patterns cover most business automation use cases: Search — retrieve and synthesise information on a specific topic, scoped by industry, date range, or geography Summa...