Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...
Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...
MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC-seq ...
Co., Ltd. recently applied for a patent titled "Data Augmentation Method and Device," with publication number CN120745617A, and an application date of June 2025. The publication of this patent ...
The Data Reduction for Science program seeks applications to explore potentially high-impact approaches in the development and use of data reduction techniques and algorithms to facilitate more ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are one of the ...
In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...
A slew of innovations in data management tooling, data infrastructure and artificial intelligence dotted the landscape at AWS re:Invent 2024. Siemens Digital Industries Software, in particular, has ...
Medicare is sporadically compromised by fraudulent insurance claims. These illicit activities often go undetected, allowing full-time criminals and unscrupulous health providers to exploit weaknesses ...
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