By
Samsung Newsroom
December 2024
Samsung Electronics Starts Its One UI 7 Beta Program for the Galaxy S24 Series
Samsung Electronics is starting its One UI 7 Beta program that comes with next-generation Galaxy AI and robust security solutions. The Beta program is going to be available for Galaxy S24 series users consecutively in Korea, USA, UK, Germany, Poland, and India. Anyone who would like to participate in the program can sign up on the Samsung Members application.
One UI 7, with its AI-optimized framework, enhances usability by integrating text editing features based on generative AI, including text summary, spelling, and grammar check. It also has a wider range of personalization options. The intuitive and immersive UI design enhances the mobile experience. Security features have also been enhanced significantly. Samsung Electronics is planning to further perfect the official release of One UI 7 by analyzing the user feedback obtained from the beta program. Learn more at the Samsung Electronics Newsroom.
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Learn How to Integrate the Samsung In-App Purchase (IAP) Service into Your Application
Samsung In-App Purchase (IAP) provides developers with a powerful solution to handle purchases from a mobile application. It ensures a smooth and secure experience for handling products and item purchases, subscription management, refunds, and used items.
The IAP SDK makes it easy to integrate the IAP functionality into your application, allowing you to configure IAP settings, retrieve item details, offer and sell items, and manage purchased items effortlessly. Learn how to integrate the Samsung IAP service into your application so that users can purchase digital consumable and non-consumable items within the application on the Galaxy Store.
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Tutorial: Add Your Custom Card to Samsung Wallet
This tutorial shows you how you can use "Generic Card" to add custom cards to Samsung Wallet. Samsung Wallet is introducing a new feature called "Generic Card" for partners who cannot use the other card types to fulfill their business requirements. This feature provides flexibility for modifying various field labels for the card, according to your business needs. From creating a custom card to using the template editor on the Samsung Wallet partner portal, learn more in the tutorial.
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Get Creative with Weather Data in Watch Face Studio
Watch Face Studio is a tool designed for creating customized watch faces, allowing you to display and process weather data including weather conditions, current temperature, and the UV index. By utilizing weather tags, you can create a dynamic watch face that adapts to changing weather conditions. Check out the detailed step-by-step guide on using weather tags in Watch Face Studio.
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Smart Door Locks on SmartThings for a Safe, More Secure Smart Home Experience
SmartThings has recently developed an innovative smart door lock solution offering simplicity and security, which matter the most to our users. There are more than 500,000 door locks already connected to SmartThings from partners like Yale, Schlage, U-tec, Aqara, and Nuki. Smart door locks can be integrated with SmartThings easily, thanks to our active support of Matter and Aliro, coming in early 2025. Learn more about SmartThings door locks and how to become our partner.
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Invitation to CES 2025: Samsung Press Conference "AI for All: Everyday, Everywhere"
Samsung Electronics is holding a press conference on January 6, 2025, 2 PM (local time in Las Vegas, USA. January 7, 2025, 7 AM KST) which is the day before the opening of CES 2025, the largest international IT and home appliance exhibition. Jong-hee Han, Vice Chairman and CEO (DX Division Head) at Samsung Electronics will headline the event under the main theme of "AI for All: Everyday, Everywhere", revealing the home AI strategies of Samsung Electronics. The press conference will be broadcast live online at the Samsung Electronics Newsroom.
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SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
As artificial intelligence advances rapidly, we have seen the development of increasingly sophisticated and powerful Artificial Neural Networks (ANNs). While these models have achieved groundbreaking performance, their escalating size and computational demands render them impractical for resource-constrained environments. This issue is particularly concerning for real-time, energy-sensitive applications such as smart watches, augmented reality (AR) glasses, and wireless earbuds.
Samsung R&D Institute Poland introduces Scattered Online Inference (SOI), a novel approach that reduces computational complexity through partial state predictions and efficient compression by leveraging the inherent continuity and predictability of time-series data. SOI aligns with the growing demand for environmentally sustainable and economically viable AI solutions, pushing the boundaries of what is possible in compact, real-time systems. Learn more at the Samsung Research blog.
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RISC-V and Vectorization
Since joining the RISC-V Software Ecosystem (RISE) project as an official member in 2023, Samsung Electronics has been participating in a variety of development projects and porting them to the RISC-V architecture.
Amber Huffman, Chairperson of the RISE project, emphasized: “In order for RISC-V to be commercialized, it is important to secure software that has performance, security, reliability, and compatibility.” Performance is very important for the end users who browse web pages, watch streamed content, or run web applications. Vectorization offers a possibility for improving the performance. Learn more about RISC-V, RISC-V extensions, and the Chromium project run by Samsung R&D Institute Poland at the Samsung Research blog.
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EnsIR: Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
Image restoration has seen significant progress over the decades and is now drawing more attention as various deep learning networks emerge. However, single models with different architectures or random initialization states exhibit prediction deviations from ground truths, resulting in sub-optimal restoration results. Ensemble learning has been applied to image restoration to address this issue, but most ensemble methods in image restoration require ensembles in the training stage. The ensemble strategy must be determined while training multiple models, so it sacrifices flexibility in changing models and the convenience of plug-and-play usage.
This article introduces EnsIR, an image restoration ensemble algorithm based on Gaussian mixture models (GMMs). This method formulates the ensemble problem, and ensemble weights are efficiently learned via the expectation maximization (EM) algorithm, which is stored in a lookup table (LUT) to be utilized in the subsequent inference stage. This algorithm demonstrates better performance than regression-based ensemble methods and commonly used averaging strategies. It can be applied to various image restoration tasks. Learn more about EnsIR at the Samsung Research blog.
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