Abstract: Action Quality Assessment (AQA) is a challenging task involving analyzing fine-grained technical subactions, aligning high-level visual-semantic representations, and exploring internal ...

Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

Abstract: Logs of large-scale cloud systems record diverse system events, ranging from routine statuses to critical errors. As the fundamental step of automated log analysis, log parsing is to ...

This project converts a 6,500-line SAS production system to the Databricks platform using PySpark SQL and Python. The conversion process includes: sas-convertor/ ├── src/ │ ├── sas_parser/ # SAS code ...

Databricks is raising over $4 billion in Series L funding that would value the data-analytics and artificial-intelligence software company at $134 billion, an increase of 34% from its last funding ...

There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others. AI agents excel at solving abstract math ...

A minimal YML snippet which reproduces the behavior A minimal dbt project which reproduces the behavior A description so detailed that the issue can be easily ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

The news is coming thick and fast for Qiagen. As the molecular diagnostics specialist announced its third-quarter earnings, it also revealed that its long-term chief executive, Thierry Bernard, will ...