YOLO Object Detection on Android for Robotics
A developer detailed how to build an Android application that performs real-time YOLO object detection for robotics, using CameraX for frame capture and a mobile inference runtime for local processing…
A developer detailed how to build an Android application that performs real-time YOLO object detection for robotics, using CameraX for frame capture and a mobile inference runtime for local processing…
A developer demonstrates how to build an Android robot control app in Kotlin that communicates with a ROS 2 robot, using a bridge or gateway to expose only necessary topics. The app uses Jetpack Compo…
A developer detailed how to wire MediaPipe's CalculatorGraph API to custom TensorFlow Lite models on Android via a Kotlin/JNI bridge, achieving sub-16ms streaming inference on mid-range Snapdragon har…
A developer has published a tutorial on building a federated learning system on Android using Kotlin. The tutorial covers the architecture, including a central server coordinating training rounds, loc…
A developer detailed the creation of an AI-powered document scanner and OCR pipeline for Android using Kotlin, integrating CameraX, perspective correction, image enhancement, Google ML Kit for text re…
A developer demonstrates how to build a Retrieval-Augmented Generation (RAG) based AI assistant in Kotlin, using a vector database to enhance LLM responses with private or frequently changing document…
A developer detailed the architecture for building a real-time object detection and tracking app on Android using Kotlin and YOLO-style models. The approach separates camera capture, inference, tracki…
A developer detailed the architecture for building an on-device LLM chatbot using Kotlin and TensorFlow Lite, focusing on mobile integration, model execution, prompt handling, and performance. The tut…
A senior Android developer argues that AI-generated code is degrading codebases and proposes that prompts and specification files could become a new programming language, but warns that human language…
JetBrains Academy's July digest announces new learning resources, including a Gen AI Engineer Bootcamp by Ardit Sulce for building AI applications and agents, a pandas course with portfolio projects, …
El Mostafa Lafryhi, an Android and Unity developer from Morocco, built an educational Android quiz app using Kotlin and Jetpack Compose. The app features interactive multiple-choice questions with tim…
Google has canceled its standalone AI Studio mobile app and is shifting app creation toward deeper Gemini integration, moving from specialist developer tools into everyday AI assistants. The company's…
JetBrains is celebrating Kotlin's 15th birthday by inviting the community to create birthday postcards, upload photos, and share wishes or predictions for the language's future. The celebration is par…
JetBrains has made KotlinLLM, its research prototype for delegating runtime logic to a large language model from Kotlin code, open source and public. The IntelliJ IDEA plugin, announced in July, adds …
Embabel released version 1.0 of its JVM agent framework for Java and Kotlin developers, reaching general availability in 2026. The framework, built on Spring AI, models agents as typed domain objects …
Google AI Studio has pivoted to conversation-driven app creation with Gemini, allowing developers to generate full-stack web applications and native Android apps through natural language prompts, with…
JetBrains Research has open-sourced KotlinLLM, an IntelliJ IDEA plugin that adds Smart macros to Kotlin/JVM projects, allowing developers to delegate runtime logic to an LLM while generating persisten…
A developer details how to build high-performance edge AI pipelines on Android using CameraX and TFLite, addressing common performance pitfalls like the 'Edge AI Wall' and advocating for hardware acce…
Nuru launched Ipek, a visual workflow builder for desktop automation that lets non-technical teams run API calls, Excel/CSV parsing, OCR, and LLM tasks locally without server-side dependencies. The JV…
A developer's guide explains why edge AI benchmarking on Android requires measuring thermal throttling, memory pressure, and accuracy loss—not just execution time—and recommends using Kotlin 2.x with …