Databricks, a startup based in San Francisco, USA, recently announced it has successfully raised $10 billion in funding, bringing the company's valuation to $62 billion. This news reflects strong investor interest in the field of artificial intelligence, particularly in the growing demand for investments in generative AI. Founded in 2013 by students from the University of California, Berkeley, Databricks focuses on providing cloud computing platforms to help enterprises manage data using artificial intelligence technologies.

Neural networks face challenges when processing heterogeneous columns of tabular data. This study proposes a method to transform table features into low-frequency representations to enhance the neural network's parsing capability. Experiments show that this approach significantly improves network performance and computational efficiency. The research provides new insights and methods for neural networks to handle complex tabular data.