As a result, some enterprises are taking an interest in responsible AI frameworks: A report from McKinsey found that the ...

Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

Here’s where to find the winners as artificial intelligence transitions from an emerging technology to an adolescent one.

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

Machine learning (ML) is an effective method for maximizing the possible advantages of RIS-assisted communication systems, particularly when the computational complexity of operating and deploying RIS ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Historically, the primary machine learning technique used in the industry was Statistical Machine Translation (SMT). SMT uses advanced statistical analysis to estimate the best possible translations ...