Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

The compounds that emerge aren't just theoretical curiosities. They're synthesised and tested, and one targeting fibrosis ...

Magic-angle twisted bilayer graphene (MATBG) is a material created by stacking two sheets of graphene onto each other, with a ...

The Neetcode 150 is a curated set of coding problems covering the most common interview topics and patterns. It stands out ...

That said, Recursion doesn't have a single therapy on the market yet. Over the past four years, the company has made little ...

Chatbots can facilitate ‘cognitive offloading,’ or taking shortcuts when learning. But emerging research on AI and cognitive ...

A new study addresses a foundational problem in the theory of driven quantum matter by extending the Středa formula to ...

“The Rachel” may have sent countless women to the salon — but Jennifer Aniston’s abs are a truly timeless inspiration. So it’s no surprise that Dani Coleman — VP of Training at Pvolve and Jen’s own ...

Jim Morris, solution engineer, Progress, and Stephen Reed, senior account manager, Progress, joined DBTA's webinar, Building Knowledge Graphs to Power Your AI Initiatives, to examine how knowledge ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...