Fields such as Big Data analysis, machine learning, predictive analysis, and natural language processing need a lot of energy ...

In an enterprise world drowning in dashboards, one truth keeps surfacing: Data isn’t the problem—product thinking is.

Large face datasets are important for advancing face recognition research, but they are tedious to build, because a lot of work has to go into cleaning the huge amount of raw data. To facilitate this ...

A US Department of Veterans Affairs dataset compiling veteran health-care use in 2021 was quietly amended on March 5, 2025. A column titled gender was renamed sex, and the words were also switched in ...

Artificial intelligence is a spectacular part of computer engineering that has earned a compelling diversion in the field of medical data classification due to its state-of-art algorithmic strength ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

It doesn’t sit in a glass-walled server room or require teams of data scientists on payroll. Yet, AaaS is becoming the ...

New York-based startup Emergence AI unveiled its new AI platform, CRAFT, and it is already being hailed as a major advancement in enterprise automation. At a time when companies are drowning in ...