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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