To gain more knowledge about how ultra-processed food affects us, we need new research methods, claim researchers. Now they ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

This approach allows developers to create applications through natural language conversations rather than traditional ...

Many researchers agree that there has been a step change in humanoid capability over the past five years, owing to cheaper ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

running R code inside Python quickly transferring huge datasets between Python (NumPy/pandas/polars) and R without writing to disk interactively working in both languages at the same time ...

Abstract: The climate change of the last decades is causing an increase in the frequency of extreme event occurrences. Numerous studies confirm the link between extreme meteorological events and ...

Individual mammalian cells contain billions of protein molecules, which must be synthesized, deployed, and removed with ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While ...