The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

Machine learning can be supervised, unsupervised, or semi-supervised. In supervised learning, models are trained on labeled data, meaning the input data is paired with the correct output.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

According to Eirik Midttun, artificial intelligence (AI) and machine learning (ML) are useful tools for interpreting sensor data, especially when the input is complex, such as vibration, voice, and vi ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data ...

Meeting The Data Needs Of AI The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic ...

Today, machine learning is integrated into several security tools, including popular ones like Splunk and Microsoft Sentinel. Let’s discuss how machine learning is advancing web app security.