The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.

AI systems are only as fair and safe as the data they’re built on. While conversations about AI ethics often focus on model architecture, algorithmic transparency or deployment oversight, fairness and ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

LASIK offers an example of how ophthalmology is becoming data-driven, using advanced imaging to move beyond static ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Transforming an initial idea into a concept design is a complex process. It requires understanding project requirements like context, program, budget, and functionality and rapidly iterating—usually ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...