The rapid growth in global poultry production has driven significant advancements in monitoring and management techniques through computer vision and deep learning. Recent innovations have enabled the ...

No data, no artificial intelligence (AI) party. Without data, AI – whether traditional, generative, or agentic – cannot exist. No surprise, then, that the vogue for AI, which has been gathering ...

Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...

Today, the amount of data that an organization needs to manage and analyze overwhelms many CEOs. Their concerns are not unfounded. Data management is about defining processes and procedures to ensure ...

Soaring data volumes, increasing data complexity and the growing use of artificial intelligence (AI) are driving organisations to improve their data management practices, according to Christine Low, ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Komprise, an unstructured data management software company, recently released their fifth annual survey on unstructured data management with over 300 IT and storage leaders participating in the 2025 ...

Editor’s note: This is part of a series of stories featuring master’s degree programs at the University of Chicago. Bradley Stoller knew the University of Chicago was an ideal fit to pursue a master’s ...

As electronic design becomes increasingly complex, traditional approaches to IP and design data management are reaching their limits. Fragmented systems, inconsistent documentation, and unclear ...

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost processor performance by improving memory management. The tool, called ...