Hate speech recognition in low-resource languages remains a difficult problem due to insufficient datasets, orthographic heterogeneity, and linguistic variety. ...
High Performance Computing (HPC) centers provide advanced infrastructure that enables scientific research at extreme scale. These centers operate with hardware ...
Code-generating LLMs are trained largely on static artifacts (source, comments, specifications) and rarely on materializations of run-time behavior. As a result...
Digital sound synthesis presents the opportunity to explore vast parameter spaces containing millions of configurations. Quality diversity (QD) evolutionary alg...
Emerging alongside generative AI and the broader trend of AI-assisted coding, the term 'vibe coding' refers to creating software via natural language prompts ra...
Data science initiatives frequently exhibit high failure rates, driven by technical constraints, organizational limitations and insufficient risk management pra...
Migrating a set of software variants into a software product line (SPL) is an expensive and potentially challenging endeavor. Indeed, SPL engineering can signif...
The most common strategy for enabling a process in a distributed system to broadcast a message is one-to-all communication. However, this approach is not scalab...
Beaconless geocast protocols are routing protocols used to send messages in mobile ad-hoc wireless networks, in which the only information available to each nod...
Wearable sensors, such as smartwatches, have become increasingly prevalent across domains like healthcare, sports, and education, enabling continuous monitoring...
The increasing demand for artificial intelligence (AI) workloads across diverse computing environments has driven the need for more efficient data management st...
This technical white paper introduces the Interactive Agents Call Tree (IACT), a computational model designed to address the limitations of static, hard-coded a...
