1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Siemens and nVent are collaborating to develop a liquid cooling and power reference architecture, purpose-built for ...

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML ...

Water, advanced fluids and bio-inspired designs are coming together to radically reshape how facilities are architected and ...

Data Descriptors, Scientific Data's primary article type, describe datasets. These must be made available to editors and referees at the time of submission and be shared with the scientific community ...

NVIDIA is rolling out AI data center reference designs that combine digital twins with power, cooling, and controls ...