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Showing posts from December, 2022

Patent Portfolio Analysis of the Key Companies in Perovskite Solar Cells

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A perovskite solar cell (PSC) typically includes a tin halide-based material or hybrid organic-inorganic lead that acts as the light-harvesting active layer. PSCs are energy efficient, inexpensive, magnetoresistant and lightweight. PSCs are considered a major breakthrough in clean energy because they offer superior performance as compared to silicon-based solar cells. We conducted a patent search in PatSeer to gain a general idea of what the top companies have been working on over the years. We ran a query using keywords associated with PSC technology and appropriate IPC and CPC classes. More than 5,200 patent families were identified in the result set, which was then analysed in more detail.    Analysing the overall filing trends of the top companies The Innovation Timeline Chart in PatSeer helps identify the number of patents filed by top assignees in the last 8 years. Research has picked up pace in these years as more multidisciplinary companies (LG, Panasonic and Fujif...

PatSeer’s AI Classifier Obtains a 95% Accuracy Score in Performance Tests Using Gold Standard Datasets

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  The recent PatSeer release features an AI Classifier that makes predictions for newer, uncategorised records based on your existing taxonomy and the records you have categorised against it. The AI Classifier classifies new records automatically according to hierarchical taxonomies, thereby saving you time and effort. Once you enable the AI Classifier for your projects, it continues to learn based on the feedback you provide. Various modes of operation permit you to select the level of intervention you prefer for the process. PatSeer’s AI Classifier uses the latest AI-NLP stack and semantic rules in ReleSense to guarantee higher precision for scientific literature and patents. Selecting a benchmark to assess performance In order to benchmark the AI Classifier’s performance, we decided to test its accuracy against two Gold Standard Datasets (Quantum Computing and Cannabinoid Edibles) that have been released as part of a collaboration between Aistemos Ltd and Patinformatics LLC and ...