Tata Consultancy Services (TCS) has published a new report titled Understanding the Dynamics of Artificial Intelligence in Intellectual Property. Designed to provide technologists, academicians, entrepreneurs, professionals and policymakers with insights on the frontiers in AI-related research and IP management and protection, the report was released today in partnership with the Confederation of Indian Industry (CII) at the 5th International Conference on IPR, organized by CII in collaboration with the Department for Promotion of Industry and Internal Trade, Government of India, and the Intellectual Property Office, India, said a press release from the company. The report captures trends in AI-related research globally, noting for example that while machine learning is the most common AI technique, mentioned in 89% of the patents filed, deep learning (DL) is the fastest-growing technique mentioned in patent filings. Another finding is that the highest number of patent families is in computer vision (49%), NLP (14%) and speech processing (13%). While it is no surprise that the US and China lead the world in AI-related patents, it comes as an eye-opener that China leads the world in deep learning, with the Chinese Academy of Sciences owning the largest DL-related patent portfolio and Baidu leading the pack among corporates globally.

MUMBAI: A report published by India's largest software exporter, Tata Consultancy Services, in association with Confederation of Indian Industry, found that despite the evolution of patent laws, the increasing proliferation of artificial intelligence across the world necessitates new policies for the enforcement of intellectual property rights. "Current patent laws treat AI software inventions as logical algorithms implemented on the computer. While patent eligibility of algorithms is valid, there is little about how to deal with inventions that are heuristic in nature," the report found. In artificial intelligence a'heuristic' is a technique used to solve a problem faster than classic methods. Software is no longer limited to traditional rule-based systems and has increasingly turned heuristic, showing higher intelligence over rule-based systems, it cited.