HPC data centers solved many of the technical challenges AI now faces: low-latency interconnects, advanced scheduling, liquid cooling, and CFD -based thermal modeling. AI data centers extend these ...

CleanArc Data Centers, a premier developer of large-scale digital infrastructure, announced at PTC 2026 its lead role in the development of a new 245-megawatt (MW) turnkey data center campus in ...

In this new construct, storage is now the foundational data conductor, and organizations that treat storage as "just there" will watch their AI ambitions—and their budgets—collapse under the weight of ...

AgenticOps is a new operational paradigm where humans and AI collaborate in real time to create efficiency, boost security, ...

Connected devices, Edge computing, and scalable infrastructure enable real-time tracking, remote control, and distributed energy management. This leads to more efficient resource use, reduced waste, ...

Intellect brings proven scale, already serving 18 banks and 176 credit unions across North America, including several of the world’s largest financial institutions. Trusted by 8 of 10 top North ...

SequenceShift expands its PCI-compliant payment platform with a new Zendesk for Contact Center integration for secure ...

The University of Michigan hosted an open house in Ypsilanti Jan. 29 regarding the $1.25 billion data center it intends to ...

Rapid digital growth can make data center expansion feel like smoke and mirrors. How can sustainability, community engagement, and transparency ensure technology serves people, not obscures them?

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...

Automation and Robotics Robotics and automation are expanding quickly across packaging lines, helping reduce labor dependence ...

Specification quality is another key challenge. Formal verification depends on clear intent, yet specifications are often incomplete, ambiguous, or difficult to operationalize. AI can help extract ...