Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data. This includes text from books and websites, images from public databases, ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

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 ...

Redis: A fast, in-memory key-value store used in Machine Learning and AI for caching and real-time data processing. In conclusion, databases are essential tools for Machine Learning and AI ...

Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered ...

DPUs work with CPUs and GPUs to enhance computing power and the handling of increasingly complex modern data workloads. The Data Processing Unit (DPU) is a relatively new component to the AI server ...

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 AI systems and the large ...

“Now, customers can use their preferred analytics and machine learning tools on their data, no matter how and where it is physically stored, to support use cases including SQL analytics, ad-hoc ...