India ranks 5th in the world for GenAI Inventions

 INTRODUCTION

GenAI as we know it today began with the advent of deep learning based on neural networks. Currently, GenAI is one of the most powerful examples of machine learning. Compared to older rule-based AI applications that could only perform a single task, modern GenAI models are trained using data from a variety of domains, without task limitations. For example, traditional chatbots follow pre-determined answers and rely on predefined rules to interact with users, making them suitable for only specific tasks. In contrast, modern GenAI chatbots such as ChatGPT and Google Gemini can generate human-like text, allowing for conversations that can adapt to many topics without being limited to pre-determined scripts. Moreover, these modern chatbots can generate not only text, but also images, music and computer code based on the datasets they are trained on.

MAIN BLOG

According to the WIPO Patent Landscape Report on GenAI, India ranks 5th globally with 1350 patents, after China with 38,210 patents, the US with 6276 patents, the Republic of Korea with 4155 patents, and Japan with 3409 patents from 2014 to 2023. Between 2014 and 2023, about 75,000 scientific publications were published, and around 54,000 GenAI-related innovations were filed.

The topmost application of GenAI is software and other applications, life sciences, document management & publishing and business solutions. The main GenAI data types include image, video, text, speech, and music.

GenAI is already spreading industries including life sciences, manufacturing, transportation, security and telecommunications.

The top 10 GenAI patent applicants globally are: Tencent with 2074 inventions, Ping An Insurance with 1564 inventions, Baidu with 1234 inventions, Chinese Academy of Sciences with 607 inventions, Alibaba Group with 571 inventions, Samsung Electronics with 468 inventions, Alphabet with 443 inventions, Bytedance with 418 inventions, and Microsoft with 377 inventions.

The surge in patents around GenAI inventions have increased after deep learning models in 2017, and now is exploding after the release of ChatGPT in 2022. It is driven primarily by three factors: more powerful computers, the availability of large datasets as a source of training data, and improved AI/machine learning algorithms.

Indian patents include a retail AI assistant system by RN Chidakashi Technologies (Miko Robotics) and the GenAI contract lifecycle management tool from Tata Consultancy Services. Even though it only possesses 3% of all GenAI patents, India has the greatest yearly growth rate 56%, when it comes to publishing of GenAI patents.

Patents related to GenAI in India have grown since 2021. A well-defined eligibility structure is essential for AI-related inventions. Based on data from WIPO, China has a rather developed patent system, with more than 40,000 patents filed there. In contrast, India filed  98% of its 1,350 patent applications.

CONCLUSION

India has to create an environment for AI intellectual property that encourages innovation while balancing legal and moral concerns. With its comprehensive approach to comprehending and utilizing GenAI technologies, India is well positioned to achieve significant economic growth and foster international collaboration in the field of artificial intelligence.

Author: H.N.Mallika

 

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