You are invited to Galaxy Unpacked 2023!
Welcome to Samsung Galaxy Unpacked 2023! On July 26, for the first time, Galaxy Unpacked will be held in Seoul, the city that leads global trends and innovation and a place where tradition and future coexist. The event will be available live online from 8 PM onward through Samsung Electronics' Newsroom and website, and on the Samsung YouTube channel.
Meet the new Galaxy products and latest technologies from Samsung Electronics at Galaxy Unpacked 2023!
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"Add to Samsung Wallet" Integrates Convenience for Tickets, Boarding Passes, and Membership Cards
"Add to Samsung Wallet" enables users to add a variety of digitalized content, such as tickets, coupons, boarding passes, and membership cards to Samsung Wallet for easy access.
For example, to make your admission to the Galaxy Unpacked 2023 event hall more convenient, you can open the event invitation email on a Galaxy mobile device and tap "Add to Samsung Wallet".
Using our detailed instructions, development specifications, and testing tools, you can enhance your user services with this feature too.
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Tutorial: Testing Matter- and Thread-Compatible Devices with ioter
Samsung SmartThings has been working with other companies to define and develop Matter, the new industry standard for smart home devices. To support OEMs integrating their devices with SmartThings, Samsung Electronics has developed ioter, a tool that emulates IoT devices that are compatible with Matter and Thread.
Learn more about how you can use ioter to test IoT devices in a virtual smart home environment. |
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Make Galaxy Watch Applications Smarter with Off-Body Detection
Some Galaxy Watch features only work when the user is wearing the watch on their wrist, such as notifications. Notifications on the smartphone are not synced with the watch when you are not wearing it.
You can make your Galaxy Watch application smarter by taking advantage of the watch's off-body detection functionality to implement similar features. This tutorial presents simple step-by-step instructions and shows you how to test the feature on the watch.
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ITU-R Finalizes Draft IMT-2030 (6G) Framework Recommendation
In June this year, ITU-R, a specialized agency of the United Nations that develops international standards for IMT radio interface technologies, finalized the draft IMT-2030 (6G) Framework Recommendation. The 6G Framework Recommendation recommends usage scenarios that represent the 6G service visions and identifies key capabilities for supporting those usage scenarios technically.
Samsung Electronics has been leading the effort, with researcher HyoungJin Choi from Samsung Research chairing the 6G Vision group responsible for developing the Framework Recommendation. Samsung Electronics plans to continue its global leadership by actively participating in the development of the 6G standardization, which is to be finalized around 2030. Learn more about the 6G Framework Recommendation, including its core elements and future plans.
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The New Normal in Next-Generation Computing: On-Device Confidential Computing
While cloud computing and machine learning have enabled smarter services for users, concerns about privacy protection have grown because massive amounts of sensitive data is used in the process. To address these concerns, confidential computing has recently developed as a security approach that protects sensitive data-in-use.
Learn about the importance and advantages of on-device confidential computing and how to use it. You can also find out what Samsung Research has been working on in the field of confidential computing and how the researchers are supporting developers in applying the research outcomes.
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TrickVOS: A New Method for Training Object Tracking Models
Have you ever wanted to apply a cool filter over one of your videos, or erase the background from the video you took with friends? The core feature enabling this is the ability to track the objects in the video. Object tracking is essential to make content creation more efficient.
TrickVOS, a new research project from the Samsung R&D Center's UK team, presents 3 new methods for training an AI-based tracking model. These methods can generate more accurate models without computational overload. The models can also be deployed easily to mobile devices, enabling users to perform complex tasks with them.
TrickVOS is expected to be implemented on upcoming mobile flagship models, enabling users to enhance the content they create. Learn more about TrickVOS on the Samsung Research blog.
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