Social data refers to publicly shared information on social media platforms. Discover how it's used for marketing, its advantages, and the risks associated with data breaches.
Abstract: When analyzing heterogeneous data comprising numerical and categorical attributes, it is common to treat the different data types separately or transform the categorical attributes to ...
LLMs are AI trained to generate text, crucial for various applications like chatbots. Training involves analyzing vast text data to learn language patterns and context. Concerns exist over copyright ...
Regex is a powerful – yet overlooked – tool in search and data analysis. With just a single line, you can automate what would otherwise take dozens of lines of code. Short for “regular expression,” ...
Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing, refining, and validating AI-generated outputs. AI is not only reshaping ...
This is the artifact for our paper "TAIDL: Tensor Accelerator ISA Definition Language with Auto-generation of Scalable Test Oracles". In our paper, we present an ISA specification language for tensor ...
Abstract: In this tutorial, the application of large language models (LLMs) in replicating complex remote sensing algorithms is explained, using permanent scatterer interferometric synthetic aperture ...
What would it be like to chat with health records the way one could with ChatGPT? Initially posed by a medical student, this question sparked the development of ChatEHR at Stanford Health Care. Now in ...
Measuring AI progress has usually meant testing scientific knowledge or logical reasoning — but while the major benchmarks still focus on left-brain logic skills, there’s been a quiet push within AI ...
At the recent Milken Global Conference, K1’s Neil Malik shared why K1’s focus has always been on acquiring software businesses that are the ultimate system of record for their enterprise customers. As ...
Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...
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