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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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Researchers from Stanford Introduce RT-Sketch: Elevating Visual Imitation Learning Through Hand-Drawn Sketches as Goal Specifications - MarkTechPost
Researchers introduced hand-drawn sketches as an unexplored modality for specifying goals in visual imitation learning. The sketches offer a balance between the ambiguity of natural language and the over-specification of images, enabling users to convey task objectives swiftly. Their research proposes RT-Sketch, a goal-conditioned manipulation policy that takes hand-drawn sketches of desired scenes as input and generates corresponding actions. Training on paired trajectories and synthetic sketches, RT-Sketch demonstrates robust performance in various manipulation tasks, outperforming language-based agents in scenarios with ambiguous goals or visual distractions. The study delves into existing approaches in goal-conditioned imitation learning, focusing on conventional goal representations