Samsung Electronics Announces "Galaxy Z Fold6," "Galaxy Z Flip6," and "Galaxy Buds3" Series, Elevating Galaxy AI to New Heights
Samsung Electronics announced “Galaxy Z Fold6,” “Galaxy Z Flip6,” “Galaxy Buds3 Pro” at “Galaxy Unpacked 2024” held in Paris on July 10 (local time).
Earlier this year, Samsung ushered in the era of mobile AI when it unveiled “Galaxy AI.” The newly announced Galaxy Z series harnesses even more powerful AI capabilities. Galaxy Z Fold’s large screen with Samsung Foldables' innovative heritage and Galaxy Z Flip6’s “Flex Mode” making the most out of the “Flex Window” expand the Galaxy AI experience to the full to accelerate a new era of communication, productivity, and creativity. Learn more about the Galaxy Z Fold6, Galaxy Z Flip6, and Galaxy Buds3 series, which will be rolled out worldwide from July 24, on the Samsung Electronics Newsroom.
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Discover New Updates of Samsung IAP Subscription
Boost your business’s competitive edge with our newly added subscription features, ranging from establishing global business strategies to enhancing customer communications.
Easy subscription fee change
With the new Subscription Fee Change feature, change a base fee to automatically convert the new price into 50 currencies across 105 regions. This feature significantly reduces the time and effort spent on complex exchange rate calculations and regional pricing. The new fee can be selectively applied with various options, and you can inform your existing subscribers about the fee changes via email for a specified period, if necessary.
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Subscription personalization promotion
Sellers can set up promotions for their subscription products, including free trials and discounts, on the seller portal. The IAP SDK provides the API for viewing the promotion applicable to each customer. This enables sellers to check promotions available to customers upon purchase and optimize their UI configurations, and allows users to find out the promotions they're eligible for before committing to payment, further encouraging purchases.
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Tutorial: Introduce Loyalty Cards to Your Application with Samsung Wallet
You can add various types of cards to Samsung Wallet. If you are looking to introduce a reward point system for your members, try the Loyalty Card (Membership Card). This tutorial walks you through how to create a loyalty card on the Wallet partner portal and how to integrate the loyalty card into your application. Learn more about this in the tutorial.
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Unfold Perfection with Galaxy Emulator Skins for Galaxy Z Fold6 and Galaxy Z Flip6
Unpacked and unfolded! The Galaxy Emulator skins for the Galaxy Z Fold6 and Galaxy Z Flip6 are now ready for download. Test your applications with these brand-new emulator skins and unfold the new Galaxy experience.
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"Energy Score" on One UI 6 Watch: Samsung Collaborates with the University of Georgia for Innovative Digital Health Experience
Energy levels are closely related to the efficiency and tiredness associated with carrying out daily tasks, but quantifying them for objective measurement has not been easy. Introducing the "Energy Score" feature, which indicates users' energy levels and provides personalized health guidance on "One UI 6 Watch." This feature will be introduced in the new Galaxy Watch model, set to be released in the second half of the year. To develop the Energy Score feature, Samsung Research has collaborated with Professor Patrick O’Connor and his team of researchers from the Department of Kinesiology at the University of Georgia, USA. Professor O'Connor is one of the most prominent figures in exercise psychology.
While most existing services focus solely on physical aspects when measuring energy levels, the Overall Capacity considers both physical and cognitive factors. Mental stressors can affect energy levels, as evidenced by disrupted sleep patterns and increased fatigue during periods of stress. Essentially, energy reflects the amount of focused activity one can sustain relative to their usual total capacity. The Energy Score is calculated based on activity levels, sleep, heart rate during sleep, and heart rate variability during sleep as measured by wearable devices. Samsung Research developed the Energy Score feature based on scientific documentation and clinical studies that validated the correlation between these indicators and energy levels. Learn more about the new Energy Score feature for an enhanced digital healthcare experience on the Samsung Electronics Newsroom.
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Multiscale Vision Transformers Meet Bipartite Matching for Efficient Single-Stage Action Localization
Action Localization is a challenging task that combines person detection and action recognition. Assuming we are given a short clip of 1-2 seconds, it aims to detect the bounding boxes of those persons appearing in the central frame and classify the actions each of them is conducting. Existing works focused on the classification task of particular persons' actions, excluding those who are not performing target actions i.e., those classified as backgrounds, using an external person detector. However, this approach is expensive as it requires two independent networks to run. To overcome these limitations, recent studies suggest “single-stage” network training where person detection and action classification can be performed at the same time. Inspired by most recent advances in object detection methods, these studies have made enormous progress towards this direction.
Samsung AI Center at Cambridge has found that single-stage methods can be made more efficient without compromising performance by introducing two technical innovations: 1) End-to-end training of a Multi-Scale Vision Transformer through direct Bipartite Matching on its outputs, and 2) spacetime-aware token selection to improve both detection and classification at the same time. Learn more about this on Samsung Research blog.
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FFF: Fixing Flawed Foundations in Contrastive Pre-training Results in Very Strong Vision-Language Models
Large-scale contrastive image-text pre-training is a method often used for training Vision-Language Models (VLMs). This conventional approach utilizes vast amounts of web-collected data consisting of image-caption pairs for learning strong visual-language representations. However, such captions are often of low quality, impeding the training of VLMs and hindering their performance. Moreover, prior methods incorrectly assume a one-to-one correspondence (i.e. that a caption can only correspond to a single image and vice-versa). This article introduces the Fixing Flawed Foundations (FFF) approach, which addresses these issues through a paper published at the Conference on Computer Vision and Pattern Recognition (CVPR).
The first algorithm uses text-image, image-image, and text-text similarities to eliminate incorrectly assigned negatives and mine new true positives on-the-fly. The second algorithm employs batch text augmentation to create multiple pseudo-captions per image. These two algorithms generate multiple new positives for each training image. This enables many-to-many correspondences, moving away from the conventional one-to-one correspondences and significantly improving the efficiency and performance of the training, significantly outperforming CLIP. The research on FFF uses these innovative approaches to correct VLM training data and contributes to the development of more powerful models. Learn more about this on the Samsung Research blog.
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MR-VNet: Media Restoration Using Volterra Networks
In modern society, media such as images and videos play a crucial role in conveying information, expressing emotions, and preserving memories. However, images and videos are susceptible to distortions during the process of capturing (e.g., sensor noise, blur, zooming in/out, bad exposure), saving and sharing (e.g., compression, down-sampling), and editing (e.g., artificial editing). The restoration of such deteriorated images or videos is important for preventing loss of information and delivering the best visual quality to users.
The Samsung R&D Institute at Bangalore, India, presents a novel class of media restoration network architectures based on the Volterra Series formulation. In this new architecture, non-linearity is introduced into the system response function via higher-order convolutions, instead of traditional activation functions. Learn more about this on the Samsung Research blog.
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