MUMBAI, India, June 27 -- Intellectual Property India has published a patent application (202321087294 A) filed by Tata Consultancy Services Limited, Maharashtra, on Dec. 20, 2023, for 'systems and methods for optimizing computational efficiency and performance of machine learning (ml) models.'
Inventor(s) include Sivakumar, Narendran; Viswanathan, Sankaranarayanan; Kannan, Radhika; and Ramasamy Venkada, Subramanian.
The application for the patent was published on June 27, under issue no. 26/2025.
According to the abstract released by the Intellectual Property India: "Traditional machine learning operations utilize high-precision numerical formats that lead to computational overhead and memory usage. Hence, it is imperative that precision of these computations needs to be reduced without compromising accuracy of machine learning (ML) models. Present disclosure provides systems for optimizing computational efficiency and performance of machine learning (ML) models. ML model consisting of model states in an original precision is fed as input, which are analyzed to determine (i) how to best divide model states into smaller chunks for efficient parallel processing, and (ii) an optimal bit-length for offloading of model states to a target precision and obtain offloaded data. The offloaded data is transferred to computing node which performs broadcast operations to obtain result(s). The results are integrated into original precision based on a mapping of subset of partitioned model states to the offloaded data to obtain a validated integrated result."
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