[International IP Briefing] US, KR

 US

The New York Times Strikes Content Licensing Deal with Amazon for AI Services

 May 29, 2025 – The New York Times announced today that it has entered into a licensing agreement with Amazon, allowing Amazon to utilize The New York Times' content for its artificial intelligence (AI) services.

In December 2023, The New York Times became the first major U.S. media outlet to file a copyright infringement lawsuit against OpenAI and Microsoft in the U.S. District Court for the Southern District of New York1). The lawsuit alleged that its copyrighted works were used without authorization in the training of generative AI models.

In connection with that lawsuit, The New York Times asserted that OpenAI and Microsoft were responsible for illegally reproducing and using its copyrighted works for generative AI training. It demanded the deletion of AI chatbot models and training data, and the relevant lawsuit is currently ongoing.

The New York Times has signed an agreement with Amazon to allow Amazon to use New York Times content for training its own large language models (LLMs) in the process of developing Amazon's AI models. This marks the first official licensing agreement between The New York Times and a generative AI company. The specific terms and conditions of the agreement with Amazon have not been disclosed.

Through this agreement, Amazon will be able to leverage New York Times article content for its AI training. It is expected that New York Times content summaries and real-time information will be provided through Amazon products and services such as Alexa.

Furthermore, the agreement includes not only New York Times news content but also content from "NYT Cooking," which focuses on recipes, and "The Athletic," a sports website.

Meredith Kopit Levien, CEO of The New York Times, emphasized in an internal memo to employees, "This agreement aligns with the principle that high-quality journalism is worth paying for." She further added, "This agreement is part of The New York Times' approach to ensuring its work is appropriately valued, whether through commercial agreements or intellectual property protection."

Major media2) outlets and other sources have noted that this agreement comes amidst the ongoing copyright infringement lawsuit filed by The New York Times against OpenAI and Microsoft. This suggests that The New York Times is exploring various strategies related to copyright with AI companies.

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1) U.S District Court Southern District of New York. 

2) For related reports, please refer to the following link: https://www.ft.com/content/bc73404e-6f01-4b9e-9563-1a5f055d2c98

 

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KR

The Korean Society of Composers, Authors and Publishers (KOSCAP) Signs Music Copyright Royalty Settlement Agreement with TikTok

May 7, 2025 – The Korean Society of Composers, Authors and Publishers (KOSCAP) announced today that it has signed a music copyright royalty settlement agreement with TikTok, the global short-form video platform.

KOSCAP emphasized the significant implications of this agreement, noting that it covers not only future music usage but also past music usage. KOSCAP highlighted the following points:

(1) TikTok's Influence

TikTok is a leading entertainment platform serving over 150 countries worldwide. Through its algorithm-based recommendation system, TikTok has a substantial impact on the global music industry. It shapes new music trends, discovers hidden artists and songs, and promotes the spread of diverse music content.

(2) KOSCAP's Efforts to Strengthen Copyright Settlement Systems

KOSCAP has consistently engaged in discussions with TikTok to protect the copyrights of its members' works used on the platform. With the signing of this KOSCAP-TikTok music copyright royalty settlement agreement, the copyright protection system will be further solidified, and compensation for past music usage will also be provided.

KOSCAP has recently been collaborating with various platforms to strengthen copyright settlement systems. It's actively responding to changes in the digital environment to ensure a transparent and reliable settlement environment. As platforms become more diverse, the rights of music creators must be respected everywhere. Therefore, KOSCAP plans to prioritize protecting its members' rights by fostering win-win relationships with platforms and expanding cooperation with global copyright organizations in line with the evolving digital environment.

(3) Future Royalty Settlement Schedule

Detailed schedules for copyright royalty settlement and payment will be announced to members by KOSCAP at a later date.

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Essential, Not Optional!, AI-powered Summary and Real-time Translation

 Various AI technologies are now being actively utilized in the field of intellectual property (IP) services. In particular, applying AI to patent search systems has become a key element that significantly enhances both the efficiency and accuracy of patent searches. AI plays a crucial role in areas such as search, summary, translation etc. Let’s take a closer look at several key applications:

Processing Vast Amounts of Data and Extracting Highly Relevant Information

Every day, countless patents are filed and granted worldwide. It is virtually impossible for humans to manually review all of this massive data. AI leverages machine learning algorithms to rapidly analyze millions of patent documents and accurately identify the ones most relevant to the user's needs. Going beyond keyword matching, AI understands context and detects similar concepts, playing a critical role in discovering important patents that might otherwise be overlooked.

Improved Search Accuracy and Efficiency

Traditional search methods based on keywords and boolean operators often lead to missed relevant patents or retrieval of excessive irrelevant results, due to users' limited domain knowledge. AI-powered search, on the other hand, uses natural language processing (NLP) to understand complex queries and automatically expands them to include similar concepts, synonyms, and related technical fields. This increases search precision, reduces unnecessary effort, and helps users identify key patents more quickly and efficiently. AI also supports the automatic classification and visualization of results, enabling analysts to grasp overall technology trends at a glance.

Fast and Accurate Patent Summary

Patent documents are highly technical and voluminous, requiring considerable time to understand their core content. AI-based summary tools can automatically extract and concisely present key claims, invention features, and technical effects from full-text patents. This is essential for rapidly scanning large volumes of patent data and selecting important documents, greatly reducing analysis time. With these summaries, analysts can quickly assess a patent’s value and determine whether further in-depth review is necessary.

Overcoming Language Barriers and Enhancing Global Accessibility

Since patents are filed in various languages, language-restricted searches limit access to global technology insights. AI-powered translation tools can accurately and quickly translate patent documents from around the world, breaking down language barriers. This significantly enhances access to non-English patent information and is indispensable for tracking global research trends or competitor developments. Beyond basic translation, AI systems provide more accurate outputs by understanding domain-specific terminology and context within the patent field.

Support for Strategic Decision-Making

AI functionalities go beyond simple information retrieval and assist analysts in making strategic decisions. For example, AI can help identify promising technologies by analyzing patent trends in a specific field or assess competitors’ patent portfolios to guide R&D direction. It can also provide insights for evaluating potential infringement risks or analyzing the patent landscape when entering a new business area. Such AI-generated insights are increasingly being used to support various aspects of business strategy.

AI features have become indispensable tools for patent search professionals, enabling more precise and efficient analysis of complex and extensive patent data. Ultimately, these tools support better strategic decision-making. AI is reshaping the paradigm of patent work and its importance will only continue to grow in the future.

At WIPS Global, we're at the forefront of patent search innovation, offering advanced AI-powered summary and real-time NMT (Neural Machine Translation) features. Let's explore how these capabilities empower patent professionals. 

wipsglobal.com> View Details> AI Summary

Our AI Summary built on generative AI, simplifies complex patent documents by translating intricate technical jargon into easy-to-understand language. This allows you to quickly and efficiently comprehend vast amounts of patent literature.

The summary process is intelligently structured, considering the typical components of a patent specification. It distills the core essence of the invention, providing key details on- Technical Field, Tech problem (to be solved), Tech Solution, Key Features and Effects. This comprehensive yet concise approach enables a quick and intuitive understanding of an invention's core, both from a holistic and a detailed perspective. This feature is currently available for documents in English and Chinese.

wipsglobal.com> View Details> Claims

WIPS Global also offers real-time Chinese translation for full-text documents originally provided in English and Japanese. This real-time translation capability is activated for critical sections of patent documents, including ‘Title (of Invention)’, Abstract, Claims and Description of Invention. This invaluable feature extends to a wide range of our supplementary tools, ensuring seamless understanding across various features: View Details, Easy Viewer, Dual Viewer, Claim Analysis, Invalidation Advisor and Insight Plus.

wipsglobal.com> View Details> Claims

JP patent document- a real-time translation

wipsglobal.com> View Details> Claims

✔NMT (Neural Machine Translation) leverages Artificial Neural Networks to perform machine translation. This advanced AI technology uses deep learning to comprehend context and sentence structure, generating remarkably natural translations.

Unlike traditional methods that translate words or phrases in isolation, NMT offers superior accuracy and flexibility by better understanding the nuances of context. This results in more fluent and precise translations that truly capture the original meaning.

wipsglobal.com> Claim Analysis

Claim Analysis: English-Chinese Real-time Translation

wipsglobal.com> Insight Plus

Insight Plus > View Details > Real-time Translation

As we've seen, WIPS Global's AI Summary and real-time NMT translation features are indispensable tools in the patent search landscape. They empower you to:

·        Rapidly grasp the core essence of extensive patent information.

·        Overcome language barriers to understand global technology trends.

·        Make more accurate and timely decisions.

These AI-driven capabilities go beyond mere convenience; they significantly boost your work productivity and analytical capabilities, taking your patent research to an entirely new level.

 

Technologies and Patents for Restoring Cultural Heritage

 

 In the winter of the year before last, a serious incident occurred in Korea when the wall of Gyeongbok Palace—one of the country's most treasured national treasures—was vandalized with spray paint. Fortunately, thanks to the swift response of the National Research Institute of Cultural Heritage and other relevant agencies and researchers, it was quickly and thoroughly restored. This restoration was made possible by the application of various technologies and tools specifically designed for cultural heritage preservation.

Wall of Gyeongbok Palace vandalized with spray paint
<source : imbc.com, https://imnews.imbc.com/news/2023/society/article/6553690_36126.html> 

Recently, there has been a noticeable increase in damage to cultural heritage due to factors such as increased tourist activity, wildfires, and construction projects. This highlights the growing need for effective restoration technologies and tools. In this issue, we will explore the technologies and patents that help restore the tangible history embedded in our cultural heritage.

 Meticulous Cleaning: The First Step in Restoration

 The foundation of restoring excavated cultural artifacts or relics lies in careful cleaning. Most importantly, dirt and soil must be removed thoroughly without damaging the object. Surprisingly, until recently, commercially available cleaning brushes were still being used for this purpose. However, the bristle lengths of general brushes—ranging from 3 to 10 cm—were often insufficient for thorough cleaning and could even damage the relics.

 In response, the National Research Institute of Cultural Heritage developed a specialized cleaning brush specifically for cultural heritage. This brush allows researchers to adjust the bristle length, reducing bristle wear and improving cleaning effectiveness. It is also designed for general use, making it suitable for a wide range of artifacts without the need for item-specific customization.

wipsglobal.com
KR10-2018-0073629, "Brushing tools for cultural properties

Restoring Artifacts with a 3D Scanner

 Artifacts unearthed at excavation sites are often found in fragmented pieces. A small fragment, just 5 cm in size, might seem insignificant to the untrained eye but could offer invaluable clues to researchers. The key is identifying what the fragment belonged to and reconstructing the original object. This is where 3D scanners become extremely useful.

 The invention utilizes a 3D scanner to restore cultural relics by scanning the fragments and digitally matching them with other pieces to predict and reconstruct the original artifact.

wipsglobal.com
KR10-2017-0041495, a system providing cultural property restoration services using a 3D scanner

The system includes units for measuring the fragments, generating 3D models, analyzing data, and creating skeletal models of the objects. In the past, researchers had to manually measure and analyze each piece, which was time-consuming. This 3D scanner-based system significantly improves accuracy and efficiency in restoration.

Color Matching Systems to Restore Original Hues

 Cultural artifacts are often discolored due to corrosion, rust, and wear over time. Iron artifacts, in particular, can become so rusted that identifying their original form becomes difficult. This next invention provides a solution for such issues.

It is a color measuring device designed to aid in the preservation of cultural artifacts by objectively extracting and recreating their original colors during restoration and replication processes.

wipsglobal.com
KR10-2022-0011243, "Measuring device for color matching of cultural properties for preservation and treatment of cultural properties"

The device includes components such as a magnifying glass for detailed inspection and lighting to remove shadows. Notably, it uses laser technology to match the surface color of the artifact as closely as possible to the original.

Preserving Textile Cultural Heritage Through Artificial Deterioration

Among the cultural artifacts unearthed, a significant number consist of traditional textiles and fabric cultural heritage. These textile artifacts, particularly clothing, serve as a crucial benchmark for accurately assessing the clothing and costume culture of a given society. However, due to the passage of extensive time, cotton and other fibers often suffer from weathering or decay, posing significant challenges for their restoration.

To address this, the National Research Institute of Cultural Heritage developed a technology that uses artificial deterioration to preserve textile artifacts. A xenon lamp is used for this process. The xenon light source increases brightness without significantly altering the spectral distribution, making it ideal for artificial weathering. This allows for thermal treatment while minimizing changes in fabric durability.

wipsglobal.com
KR10-2520272 B1, "Artificial deterioration method of silk fabric for conservation of textile cultural heritage and conservation method of textile cultural heritage using the same"

By exposing the fabric to xenon light at a controlled temperature, the original condition of cotton textiles can be maintained. This method also minimizes loss of tensile strength and changes yellowing index of the fabric, thereby preserving the integrity of the textile for a longer time.

Innovation Illuminates the Value of Cultural Heritage

In this issue, we've explored the restoration and preservation technologies applied to cultural heritage and artifacts—our living history. The successful restoration and preservation of these invaluable treasures have always relied on the dedicated efforts of countless individuals and the relentless application of technology. We hope that technological innovation continues to advance, ensuring the enduring brilliance of our cultural heritage for generations to come.

A researcher at the Cultural Heritage Conservation Science Center working on artifact restoration
<source: Hankook Ilbo, https://www.hankookilbo.com/News/Read/201903191632365481 >