Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

This precision medicine approach, driven by granular, real-world evidence, is critical for reshaping clinical guidelines and ...

Why do people visualize data? People visualize data either to consume or produce information relevant to a domain-specific problem or interest. Visualization design and evaluation involves a mapping ...

Databricks One offers low-code and no-code capabilities, aiming to democratize analytics for business users while maintaining enterprise-grade governance.

With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously required thousands of instances.

Data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret.

Abstract: Genomics experts rely on visualization to extract and share insights from complex and large-scale datasets. Beyond off-the-shelf tools for data exploration, there is an increasing need for ...

For example, Data2Vis conceptualizes visualization generation as a sequence translation task, employing an encoder-decoder neural architecture. Similarly, RGVisNet initiates the text-to-vis process by ...