Swift on Server - Are We There Yet?
Evaluates Swift's viability for server-side development by comparing it to established frameworks, examining performance, deployment, and developer experience.
Getting Started with Apple ML
Introduction to Apple ML: Learn to integrate machine learning into iOS apps using Create ML and Swift, with no math background required. Explore datasets, compare tools, and discover ML possibilities.
Super Resolution with CoreML
Explore image super resolution using CoreML and Swift. Learn implementation, model training, and comparisons with conventional methods. Discover recent advancements in iOS machine learning.
Effective Core Data with Swift
Explore effective Core Data integration with Swift, covering techniques for saving enums and structs, leveraging Codable, and creating Swift-friendly model classes. Learn to navigate challenges and optimize your app's data management.
What I Learned Creating a Social Media App Clone
Discover tips for building a social media app clone, including scalable NoSQL data structures and smooth scrolling with dynamic image loading. Learn from real-world development challenges.
Strings Seven Ways
Explore seven diverse approaches to understanding and working with strings in Swift, from Unicode characters to typographic content, enhancing your string manipulation skills.
Swift Services are Simple
Explore building REST APIs with Kitura 2, generate client SDKs, and deploy server-side Swift apps to the cloud. Learn about Kitura's development and future prospects.
Swift Server Update
Swift Server Work Group's progress, incubation process, and active projects for server-side Swift development. Highlights ecosystem growth and opportunities for community involvement.
The Philosopher's String
Explore Swift's String type philosophy, balancing correctness, performance, and usability. Learn to optimize String programming and contribute to its evolution in the Swift community.
次へつなごう— Extending a Hand to the Next Generation of Apple Developers
探索Appleの開発者コミュニティを強化し、新世代の開発者を支援する方法。Swiftの進歩と業界参入の課題を議論し、経験豊富な開発者が果たせる役割を考察。
In Defense of Core Data
Discover Core Data's potential in iOS development. Learn to avoid common pitfalls, set up efficiently, and leverage its strengths for local persistence in your apps. Gain practical tips for safe integration.
Property-Based Test Beginning with SwiftCheck
Explore property-based testing with SwiftCheck, a powerful technique for generating random input values to validate logical properties of functions in Swift development.
Generics in Protocol Extension
Explore advanced Swift concepts: generics in protocol extensions, existential types, and Curry-Howard correspondence. Learn to create powerful, flexible code using functional programming principles.
Swift for TensorFlow - Machine Learning with No Boundaries
Explore Swift for TensorFlow's latest features, future plans, and unique advantages for machine learning projects. Learn about cross-platform capabilities, performance improvements, and developer tools in this cutting-edge framework.
Swift Concurrency in GoodNotes
Exploring Swift Concurrency challenges in GoodNotes app development, including limitations, issues encountered, and solutions through custom concurrency module creation.
Optimize Your Swift Code
Techniques for optimizing Swift code performance, including compiler-friendly programming and detecting implicit costs. Learn to process complex algorithms efficiently at 120 FPS.
Quantum Computing in the Cloud
Explore quantum computing's integration with classical HPC, its potential in drug design, logistics, and finance, and Kvantify's innovative approach to solving complex computational problems.
When It's Time to Change, Then It's Time to Change - A Talk on Adaptability
Explore the concept of Adaptability Quotient (AQ) and learn techniques to measure, develop, and apply adaptability in your professional life and team dynamics.
Artificial Intelligence: Miracle or Menace
Erörterung der Auswirkungen, Chancen und Risiken künstlicher Intelligenz auf unsere Zukunft aus der Perspektive eines Experten.
It's All About Machines and Creating Their Minds
Exploring user-centric AI design: How to create socially integrated, accepted, and beneficial machine learning systems for future businesses and daily life.
From Zero to Deep Learning Enhanced App
Practical insights on developing a Deep Learning Android app, from data collection to production deployment using TensorFlow, with tips on choosing the right approach and best practices.