The surge of Artificial Intelligence (AI) is turning data centers into giant energy users. Electricity demand from AI ...

Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

A misconfigured platform used by the Department of Homeland Security left national security information—including some ...

Google DeepMind researchers have a new way to take toxic data and clean it for AI training. It could prove to be a powerful ...

Nike’s in-store NSRL running form analysis uses motion capture technology to check your technique and point to potential ...

Data centers may not be visible to most Americans, but they are shaping everything from electricity use to how communities ...

Abstract: Sequential recommendation systems are integral to discerning temporal user preferences. Yet, the task of learning from abbreviated user interaction sequences poses a notable challenge. Data ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

Hot Chips, a leading semiconductor design conference taking place Aug. 24–26 at Stanford University, will feature Nvidia's latest innovations in rack-scale AI systems, neural rendering and ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...