Vibe Coding: How AI Turns Words Into Apps in Minutes
Vibe coding lets you describe an app in plain language and get working code in seconds. This article explains the technology, tools, and real‑world benefits for developers and non‑developers.
AI Workforce Automation: How Robots and Chatbots Are Changing the Job Landscape
AI workforce automation is altering the job market with robots, chatbots, and new roles. This article breaks down the benefits, risks, and how businesses can adapt.
Fair Human-Centric Image Benchmark: A New Standard for Fairness in AI Vision
Sony AI’s Fair Human‑Centric Image Benchmark is a free, open dataset that helps developers test and fix bias in computer‑vision models. Read our guide to start building fairer AI today.
The Rise of Agentic AI Frameworks: How SEAL and DeepResearch Are Shaping the Future
Agentic AI frameworks such as SEAL and DeepResearch empower models to plan, act, and learn. This article covers new model releases, practical guides, and how to integrate them into your projects.
TinyML Fall Detection: A Low‑Power Edge Guide
TinyML fall detection turns a cheap accelerometer and micro‑controller into a privacy‑first, battery‑powered device that can spot accidental drops in real time. The guide covers hardware, data collection, model training, quantization, and deployment.
TinyML Emotion Detection on Low‑Power Devices: A Simple Guide
TinyML emotion detection lets a small micro‑controller read facial emotions in real time, all on a coin‑cell battery. The guide covers hardware, dataset creation, model training, quantization, and deployment on ESP32‑C3.
AI Decision Making for Remote Teams
AI decision making for remote teams turns scattered conversations into clear actions. Follow a four‑step pipeline, see real case studies, and start a pilot this week.
TinyML Air Quality Monitoring: A Low‑Power Edge Guide
TinyML air quality monitoring lets you build a low‑power, privacy‑first device that predicts indoor air quality on an ESP32‑C3. The guide covers sensor selection, data collection, model training, quantization, and deployment.
TinyML Real‑Time Sign Language Recognition on Low‑Power Devices
TinyML real‑time sign language recognition lets you build a low‑power translator that runs on an ESP32‑C3. The guide covers dataset prep, model training, quantization, and deployment.
TinyML Indoor Positioning: How Small Models Turn Your Home into a Smart Navigator
TinyML indoor positioning lets everyday devices figure out where they are inside buildings using BLE beacons and a small neural net that runs on microcontrollers. This guide covers data collection, training, quantization, and deployment.