Sun Pharmaceutical Industries. has filed a patent for methods and systems for hyperparameter tuning and benchmarking. The computer-implemented method involves generating hyperparameter configurations, performing benchmarking on computational procedures, and selecting optimal configurations based on performance metrics. GlobalData’s report on Sun Pharmaceutical Industries gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Sun Pharmaceutical Industries, Nanoparticle drug conjugates was a key innovation area identified from patents. Sun Pharmaceutical Industries's grant share as of January 2024 was 34%. Grant share is based on the ratio of number of grants to total number of patents.

Hyperparameter tuning and benchmarking method for computational procedures

Source: United States Patent and Trademark Office (USPTO). Credit: Sun Pharmaceutical Industries Ltd

The patent application (Publication Number: US20240020543A1) describes a computer-implemented method for hyperparameter tuning and benchmarking of computational procedures. The method involves generating hyperparameter configurations, performing benchmarking on computational tasks, evaluating results based on metrics, and selecting optimal hyperparameter configurations. The system includes a digital computer, memory for storing results and metrics, and a computational platform for executing procedures and storing results. The method also includes obtaining information on problem classes, hyperparameter search spaces, computational procedures, and evaluation metrics before initiating the process.

Furthermore, the system and method outlined in the patent application involve utilizing multiple processors, receiving metrics for evaluation, and storing values in memory. The computational platform can consist of various hardware types such as CPUs, GPUs, TPUs, quantum computers, and more. The system can operate on virtual machines hosted on the computational platform and can set up automated pipelines for hyperparameter tuning and benchmarking. The method also includes visualizing tuning and benchmarking results interactively, providing a comprehensive approach to optimizing computational procedures efficiently.

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