HN Demonstrates Neural Network Implementation in SQL
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| Source: HN | Original article
A neural network has been implemented in SQL, enabling autograd capabilities in databases.
A developer has successfully implemented a neural network in SQL, a feat that could potentially simplify the integration of artificial intelligence into database management systems. This achievement is noteworthy because it eliminates the need for external tools, allowing neural networks to be built using only SQL code.
As we have previously reported, neural networks have been a subject of interest, with discussions on implicit weight uncertainty, Bayesian neural networks, and explanations of neural networks. This latest development takes the concept a step further by demonstrating the possibility of creating neural networks directly within SQL databases.
What matters here is the potential for more efficient and streamlined AI applications, particularly in databases like SQL Server. The ability to autograd in the database and create neural networks could open up new possibilities for data analysis and processing. We will be watching to see how this development unfolds and whether it leads to more widespread adoption of AI in database management.
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