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 for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

In the fast-paced world of data-driven technologies, MongoDB Inc. has emerged as a powerful and flexible database platform. As organizations seek to unlock the full potential of MongoDB, data modeling ...

As AI and other technologies surge in popularity, so has the demand for data centers to power global digital transformation. However, a greater demand for data centers also introduces demand for ...

There’s tremendous buzz and a fair bit of confusion concerning artificial intelligence (AI), but it’s not oversimplifying to say that what AI boils down to is data. Health-care facilities, as one of ...

Chip design is starting to include more options to ensure chips behave reliably in the field, boosting the ability to tweak both hardware and software as chips age. The basic problem is that as ...

We're living in the golden age of computing. AI is already reshaping how we think about infrastructure. We've gone from five- to 10-kilowatt racks to 30 kilowatts—and we're now staring down 50 ...

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 ...