Abstract: 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 ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production.

Having spent the best part of a year and a half working to unify its products and tools with those of its new owner, Cisco, Splunk is using its annual Splunk.conf event in Boston, Massachusetts, to ...

The Cisco Data Fabric and Splunk Federated Search for Snowflake will enable enterprises to unify, analyze, and gain insights from distributed business and machine data. At this week’s Splunk .conf25 ...

Artificial intelligence and machine learning workloads are reshaping industries—and the operating systems that power those workloads are evolving too. In 2026, Linux remains the platform of choice for ...