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 ...

AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One ...

Lorenzo-Eiroa, Pablo "Digital Signifiers in an Architecture of Information: From Big Data and Simulation to Artificial Intelligence", Routledge, London 2023 This book proposes a new critical ...

A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...

The Software Architecture for Big Data specialization includes a three-course pathway to earn admission to the Online MS in Computer Science (MS-CS). You may complete the three courses below as a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Clayton Miller is an Assistant Professor at NUS, part of BUDS Lab, a scientific research group that leverages data sources from built and urban environments to improve energy efficiency and ...

Cloudera research finds only 9% of organisations have fully AI-ready data, with siloed data and security major barriers to ...

Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate ...