The Vertiv Frontiers report examines how AI factories and large-scale compute demands are influencing power, cooling 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 ...

AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data ...

The data design category of Fast Company’s Innovation by Design Awards honors projects that harness the power of data to create better experiences for users, whether it’s an algorithm, a visualization ...

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 ...

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 ...

The continued unbundling of SoCs into multi-die packages is increasing the complexity of those designs and the amount of design data that needs to be managed, stored, sorted, and analyzed. Simulations ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.