Alibaba gets Android 16 running on RISC-V
Alibaba engineers have successfully ported Android 16 to run on RISC-V architecture, marking a significant step toward reducing reliance on Arm-based processors. The milestone demonstrates the growing…
Alibaba engineers have successfully ported Android 16 to run on RISC-V architecture, marking a significant step toward reducing reliance on Arm-based processors. The milestone demonstrates the growing…
Google has released a ranking of the best AI models for building Android applications, with an unnamed model outperforming its own Gemini. The company aims to guide developers toward the most effectiv…
Google has announced Googlebooks, a new category of AI-native laptops built for the Gemini era, with Arm serving as the primary compute platform. Arm-based systems-on-chip in these devices enable high…
Google announced new AI features for Android at Google I/O 2026, including AppFunctions and tools to integrate Google's AI into apps. Developers can access code snippets, samples, and guides on the An…
A developer building LLM-driven Android automation tools has outlined a structured debugging approach that saves detailed run traces instead of just final screenshots. The method captures UI dumps, mo…
The article describes how to integrate scrcpy, an open-source Android screen mirroring tool, into a Tauri app for Mac. It covers launching scrcpy from Rust code, bundling it as a universal binary with…
The article announces the launch of Floatkit, a floating productivity panel for Android developed by Fari Ji. Built with Kotlin, the tool is designed to enhance user productivity by providing quick ac…
The article describes five critical challenges the author encountered while shipping a fully offline Gemma 4 AI assistant (PocketClaw) on Android, which are not covered in standard documentation. Key …
The article describes the creation of PocketClaw, a fully offline Android AI assistant built using Google's Gemma 4 E2B model. The assistant runs entirely on-device with a 1.5 GB INT4 quantized model,…
Notari is an Android app that records, transcribes, and structures voice notes into Markdown format entirely on-device, without ever writing audio to disk or requesting internet permission. The app us…
Google CEO Sundar Pichai announced a four-year timeline to artificial general intelligence and unveiled 24 product announcements in 35 minutes at the I/O 2026 keynote, declaring the end of the app era…
According to the article, the author found Google I/O 2026 exciting because the announcements felt immediately useful for developers and students, particularly the integration of AI into real developm…
This article, written by Android developer Davran, provides a technical overview of developing a Kiosk application for Android. It explains that a Kiosk app locks a user into a single application, com…
Here is a factual summary of the article: The article provides technical guidance for optimizing on-device inference of the Gemma 4 E2B model on Android using the LiteRT-LM library, highlighting that…
The XiHan Snore Coach is an Android-based MedTech application that tracks and analyzes snoring and sleep apnea symptoms entirely offline on the user's device. It uses the Gemma 4 2B/4B Ultra-Mobile Mo…
The article summarizes a debugging case involving Android 14 WebRTC disconnects over a coturn TURN relay path. The author emphasizes that a repeated timeout log line was a misleading starting point, a…
SafeSMS is a privacy-focused Android application that uses the on-device Gemma 4 E4B AI model to detect SMS-based scams, phishing, and spam without sending data to the cloud. The app analyzes incoming…
The author predicts that mass adoption of AI will occur when locally run models match the capabilities of remote models, potentially replacing traditional operating systems and apps with a single agen…
This article compares five methods for automatically forwarding SMS messages from an Android phone to Telegram, including free APKs, Tasker, n8n, custom apps, and cloud-based services. Each approach f…
This article presents a comparative analysis of implementing AI in mobile applications, examining both On-Device (using Google ML Kit) and On-Server (using Hugging Face Inference API) approaches on Na…