One of the most critical non-technical skills for a data scientist is communication. Data scientists must translate complex ...

Overview:  Cleaning, sorting, building basic models, and manual reports are being handled in the background. The future role ...

In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...

Urban digital twins pull together tremendous amounts of data to realistically model cities, but they’ve been missing a ...

The data engineering trends clearly show a move toward maturity. The emphasis is on building reliable, repeatable, and ...

Synthetic identities are a major issue as these are acquired via the dark web, and can be challenging to detect and separate ...

Explore the role of AI in drug discovery and how it revolutionises research through machine learning insights and strategies.

Over the past week we've witnessed the many political discussions that go with the territory of a COP—or, more verbosely, the ...

Stanford and UC Berkeley are collaborating on major research initiatives despite their rivalry on the field, from developing ...