開発スタッフがアプリ関連の最新技術やニュースをご紹介します。

Google Maps is set to revolutionize the way users discover new places with the introduction of a generative AI feature, as announced by the company. Leveraging large language models (LLMs), the feature analyzes a vast database of over 250 million locations on Google Maps and taps into contributions from over 300 million Local Guides. By employing a more conversational approach, users can make nuanced queries, such as seeking “places with a vintage vibe in SF,” and Maps will generate tailored recommendations for thrift shops, complete with categories, photo carousels, and review summaries.

Designed to be intuitive, the generative AI feature goes beyond conventional search experiences. Users can engage in a more dynamic interaction by asking follow-up questions. For example, if the initial query relates to vintage shops and is followed by “How about lunch?” the AI will seamlessly transition to finding restaurants that align with the user’s preferences, creating a more personalized and fluid exploration experience.

Google emphasizes the inclusivity of the new feature, asserting its capability to generate recommendations for even the most niche or specific queries. Initially launching as an early access experiment in the U.S., the feature will be accessible to select Local Guides—Google’s community contributors—before extending to a wider user base in the near future. While the company hasn’t disclosed the countries that will receive the feature, the move aligns with Google Maps’ evolving role from a navigation tool to a comprehensive platform for discovering and exploring new places.

This generative AI feature follows Google’s recent updates to Maps, which transformed the platform into a more sophisticated search tool, incorporating AI-powered features like photo results and suggesting specific places in response to ambiguous queries. Google envisions this innovation as just the starting point, expressing its commitment to further enhancing Maps with generative AI, solidifying its position as a go-to destination for exploration and discovery.

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今回はUnity VRの開発環境で、VIVE Eye Tracking SDK のセットアップをおこなう方法について紹介します。
以下の手順をおこなうことによりHTC VIVE Pro Eyeのアイトラッキング機能のセットアップおよび開発環境の構築をおこなうことが可能になります。

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Static IPをアタッチしたLightsailとLinuxが動作しているローカルPCをtailscaleのVPNで繋いで
手軽に固定IPを利用してみます。

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UUIDs, or Universally Unique Identifiers, are strings of characters used to uniquely identify information in computer systems. They play a crucial role in various applications, from databases to distributed systems. In this blog, we will explore the different versions of UUIDs, each designed for specific use cases and scenarios.

1. UUID Basics

Before delving into the versions, it’s essential to understand the basic structure of a UUID. A UUID is a 128-bit number typically represented as a 32-character hexadecimal string, separated by hyphens into five groups. The uniqueness of UUIDs is achieved by combining timestamps, node information, and random or pseudo-random numbers.

2. UUID Version 1: Time-based UUIDs

UUID version 1 is based on the current timestamp and the unique node (typically a MAC address) to ensure uniqueness. The timestamp component allows sorting and ordering of UUIDs based on their creation time. While effective, the reliance on a timestamp makes it less suitable for scenarios where privacy and security are top priorities.

3. UUID Version 2: DCE Security UUIDs

Version 2 is similar to Version 1 but includes additional information related to the POSIX UID/GID and POSIX timestamps. However, Version 2 is rarely used in practice, and Version 1 is more widely accepted.

4. UUID Version 3 and 5: Name-based UUIDs (MD5 and SHA-1)

These versions are generated by hashing a namespace identifier and a name using MD5 (Version 3) or SHA-1 (Version 5). The resulting hash is then combined with specific bits to form the UUID. While these versions ensure uniqueness within a given namespace, the use of MD5 and SHA-1 has raised security concerns due to vulnerabilities in these hashing algorithms.

5. UUID Version 4: Random UUIDs

Version 4 UUIDs are generated using random or pseudo-random numbers. This version prioritizes randomness over time-based information, making it suitable for scenarios where ordering is less critical, and privacy is a priority. The randomness is achieved through the use of a random number generator.

6. UUID Version 6: Modified Version 1

A newer addition, Version 6 combines the best of both Version 1 and Version 4. It includes timestamp information for ordering and randomness for improved security. This version is designed to address some of the privacy concerns associated with Version 1.

Conclusion

Understanding the different versions of UUIDs is essential for choosing the right type based on the specific requirements of your application. Whether you prioritize time-based ordering, security, or randomness, there’s a UUID version designed to meet your needs. As technology evolves, so do UUID specifications, ensuring that these unique identifiers continue to play a vital role in the ever-expanding digital landscape.

Asahi

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At Samsung’s latest launch event, the company unveiled its innovative Live Translation feature, a noteworthy addition to the AI-powered Galaxy S24 smartphone line. The Live Translation feature aims to enhance the calling experience by enabling users to make or receive calls in languages they do not speak, providing real-time audio and on-screen translations. Demonstrated during the Unpacked event, the technology showcased how users could effortlessly make a restaurant reservation in a foreign language, with the conversation seamlessly translated within the native Call app. This feature creates a personalized interpreter experience, emphasizing the convenience it brings to users.

Samsung’s Vice President of Product Management, Drew Blackard, likened the Live Translation feature to having a personal interpreter during phone calls. The technology is designed to support audio and text translations for up to 13 languages, ensuring a versatile and inclusive communication experience. Notably, all translation processes occur on the device itself, preserving the privacy of Samsung owners’ phone calls.

Furthermore, the Live Translation feature is designed to remember users’ language settings and the preferred language of each contact, streamlining communication for those engaging in frequent international calls or travel.

As part of this language-focused enhancement, Samsung is extending translation capabilities to the Samsung keyboard. Users can now directly translate words and phrases as they type, offering a dynamic language translation experience during text-based conversations. The keyboard’s language detection feature ensures a seamless translation process, proving useful not only for international communication but also for users comfortable communicating in their native language, even when conversing with others who speak the same language. This comprehensive language integration showcases Samsung’s commitment to leveraging AI for an improved and more accessible user experience.

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