In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Apache Spark creator and Databricks CTO Matei Zaharia wins the 2026 ACM Prize in Computing and argues that AGI has already ...
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...
Abstract: With the rising adoption of deep neural networks (DNNs) for commercial and high-stakes applications that process sensitive user data and make critical decisions, security concerns are ...
Standards and guidelines for development co-operation with concrete examples of their implementation ...
Abstract: The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine ...