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Discover Latest #Swift News, Articles and Videos with Contenting
1. Apple and IBM Team Up to Create New Business Apps for iPads and iPhones (November 2014) This article discusses the partnership between Apple and IBM to create new business apps for iPads and iPhones. The apps are designed to help businesses manage their operations more efficiently, including tracking data, tracking customer interactions, and streamlining customer service. The article also discusses the implications of this partnership and how it could impact the future of mobile business solutions. 2. IBM and Apple Partner to Bring IBM Cloud Services to iOS (January 2015) This article talks about the partnership between IBM and Apple to bring IBM Cloud Services to iOS. The partnership will enable Apple users to access and use IBM’s cloud services, such as Watson and Bluemix, on their iPhones and iPads. The article also talks about the potential implications of this partnership, including how it could lead to a more efficient and secure way of accessing cloud services. 3. How to Build an iOS App with Swift (May 2015) This video provides step-by-step instructions on how to build an iOS app using the Swift programming language. The video covers everything from setting up Xcode and the Swift environment, to designing the user interface, to writing the code
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Jetpack Compose Elevation Explained: Tonal, Shadow, and How to Use Them | by Ruichen He | Sep, 2025 | Medium
Jetpack Compose Elevation Explained: Tonal, Shadow, and How to Use Them When I first started building apps, my world revolved around iOS development. I lived in SwiftUI and UIKit, where elevation …
Assessing the Quality of Dried Squid - Schneier on Security
Research: Nondestructive detection of multiple dried squid qualities by hyperspectral imaging combined with 1D-KAN-CNN Abstract: Given that dried squid is a highly regarded marine product in Oriental countries, the global food industry requires a swift and noninvasive quality assessment of this product. The current study therefore uses visiblenear-infrared (VIS-NIR) hyperspectral imaging and deep learning (DL) methodologies. We acquired and preprocessed VIS-NIR (4001000 nm) hyperspectral reflectance images of 93 dried squid samples. Important wavelengths were selected using competitive adaptive reweighted sampling, principal component analysis, and the successive projections algorithm. Based on a Kolmogorov-Arnold network (KAN), we introduce a one-dimensional, KAN convolutional neural network (1D-KAN-CNN) for nondestructive measurements of fat, protein, and total volatile basic nitrogen…...