But as more data centers are built to accommodate AI and other data-intensive processes, energy demand is expected to skyrocket. A single hyperscale data center can use the same amount of energy as a ...

Building effective data pipelines is critical for organizations seeking to transform raw research data into actionable ...

Imagine a 100GB movie in a text! Anthony Ravenberg's quantum compression shatters limits, offering extreme data reduction and quantum-resistant security.

Organizations that treat data integration as a strategic business imperative, not just a technical challenge, will be the ...

Traffic flow prediction is a challenging task while most existing works are faced with two main problems in extracting complicated intrinsic and extrinsic features. In terms of intrinsic features, ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

Based on software-defined networking (SDN), many online service providers deploy novel online traffic engineering (TE) schemes in their data center networks. The online TE epoch usually ranges from ...