Yesterday, we talked about how Claude is starting to behave less like software and more like a coworker. People aren’t just prompting Claude Code and waiting for an answer anymore. They’re leaving it ...
The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...
Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...
Abstract: Emerging technologies, including artificial intelligence (AI), big data analytics, the Internet of Things (IoT), and blockchain, rely heavily on the generation and analysis of vast data ...
Background: Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among entities (e.g., genes, diseases, proteins), providing valuable ...
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