02 — The moving frontier
Cloud, data and artificial intelligence: what genuinely changes the work, and what is only noise in the feed.
10 essays
Submenu
Structured modules across machine learning, NLP, generative AI, agents, computer vision, responsible AI, MLOps, and knowledge graphs.
Submenu
Fundamentals through sensing, actuators, ROS and AI, embedded control, and applications.
Submenu
IoT and AI reference architectures across AWS, Azure, Google Cloud, NVIDIA and Oracle — edge to GenAI.
Most enterprise AI programmes fail for the same reason enterprise search failed in 2008: nobody owned the data. Here is what actually has to be true before a model earns a place in production.
From the GPU in your cloud instance to the quantum chip that may one day break encryption — a map of 19 processor architectures shaping 2026 and beyond, with practical guidance on when each one actually matters.
NodeMCU ESP8266 + MPU6050 gyro/accelerometer with SSD1306 OLED readout, optional DHT11, InvenSense teapot packets over serial, and a Processing 3D visualiser — motion on the bench and on the screen.
Raspberry Pi Hass.io as the hub, Mosquitto MQTT, NodeMCU driving an 8-channel relay bank, Home Assistant entities, an optional NodeMCU WebSocket UI, and a lighter IR/mobile alternative without the Pi.
Wiring a 1-inch hall-effect water flow sensor to a Particle Photon — pin map, Photon features, pulse-to-L/min math, and firmware that publishes instantaneous and cumulative flow to the Particle Cloud.
A DIY 3018 CNC mill driven by GRBL and CNCjs on a Raspberry Pi — milling wood and soft metal from CAD designs, laser engraving, and remote job control from any browser on the home network, built for under $200.
Turning an old Raspberry Pi into an Echo Dot–like Alexa Voice Service device — USB mic and speaker, Amazon developer profile, AVS sample app, companion service, Java client auth, and Sensory wake word — for home automation and voice Q&A.
Assembling a Tevo Tarantula DIY kit — full parts list, commissioning steps from bed levelling to Repetier Host G-code, and the first successful print — roughly $200 and 8 kg of desktop manufacturing.
Building a first quadcopter from a 330 mm frame — brushless motors, ESCs, KK2.1.5 flight controller, RF gear, camera pan/tilt, mechanical and electrical assembly, calibration, and PID notes — about ₹10K and 1 kg, tested indoors only.
A Waveshare Alphabot-based home robot on Raspberry Pi + Arduino — remote web/mobile drive, pan-tilt camera with MJPEG streaming, line tracking, IR remote, obstacle avoidance, and Axelta sensors for climate, light, reed and PIR.
Continue the journey