
Explore Cyanogen's theming engine, from its inner workings to app development. Learn how to create custom themes and get a sneak peek at upcoming features for personalizing your Android device.

Explore enhanced Android Studio design tools for rapid UI development, including advanced ConstraintLayout features and best practices for creating dynamic, rich app layouts.

Explore how no-code tools revolutionize digital product creation, empowering anyone to design and scale amazing projects while transforming the relationship between developers and designers.

Explore rapid GoLang prototyping using KubeFox Virtual Environments and Hasura, enhancing cloud-native development efficiency and productivity.

Insights on optimizing design systems for efficiency: aligning components, revamping documentation, and streamlining pipelines to harness design power in product development.

Explore effective strategies for developing successful open core projects, focusing on audience design, infrastructure, community building, and governance.

Explore "Riffing on Rails" - a dynamic approach to designing Rails features using scratch files for rapid prototyping, iterative development, and collaborative coding.

Discover how HelloFresh uses data-driven approaches to optimize menu design, predict recipe performance, and align product offerings with customer preferences and business strategies.

Aprenda práticas para desenvolver aplicações de Machine Learning que impactam KPIs de negócios, desde prototipagem rápida até experimentação contínua para melhorar a experiência do cliente.

Comprehensive guide to ML team dynamics, hiring strategies, project management, and product design, offering insights for both aspiring professionals and team leaders in the machine learning field.

Explore AI-powered app development using SMOL Developer, a tool that generates web applications from text prompts, showcasing the potential of GPT in streamlining software creation.

Build and deploy a machine learning Cancer Segmentation API using Python, TensorFlow, FastAPI, and Heroku in a quick tutorial. Learn to create a practical ML application for medical imaging analysis.

Build a machine learning app to track deadlifts using Python, Scikit-Learn, MediaPipe, and Tkinter in this coding challenge. Learn to create a practical application combining ML and GUI development.

Explore designing ML-minded products and product-minded ML systems, focusing on data considerations, bias removal, evaluation methods, and sustainable implementation in real-world applications.

Explore the convergence of computer science and physical science, examining how information becomes tangible and objects transform into data, revolutionizing manufacturing and design.

Explore rapid AI prototyping, use case identification, and responsible enterprise adoption. Learn about Microsoft AI services, Kyndryl's LLMOps framework, and human-centric implementation for balanced speed and responsibility.

Explore how technology enables new interactions and behaviors in the physical world, focusing on task-oriented design and creating experiences for mass consumption.

Learn to rapidly develop embedded applications using Zephyr and Pigweed. Explore tooling for communication, data gathering, and image size reduction while setting up testing infrastructure with emulators.

Explore AI's impact on UX and product design, learning to leverage machine-generated content as a design material. Discover techniques to create innovative services and improve existing products using AI responsibly.

Explore Stable Diffusion 3's capabilities in image generation, from complex prompts to natural language inputs, covering various applications like UI design, photography, and architecture visualization.

Explore open-source tools for designing, generating, and visualizing Zephyr applications on custom platforms using Renode simulator and Visual System Designer, enabling rapid product development with automatic testing.