The “black box” nature of many AI models causes hesitation in trusting their predictions, especially in sensitive fields like medicine and finance, where interpretability and accountability are essential. Overcoming this challenge has become a central focus in AI development. Time series classification (TSC) is a critical task with numerous real-world […]
Monthly archives: September 2025
21 February 2024 Abstract Numerical software is being reinvented to provide opportunities to tune dynamically the accuracy of computation to the requirements of the application, resulting in savings of memory, time, and energy.  Floating point computation in science and engineering has a history of “oversolving” relative to expectations for many models. So often are real datatypes defaulted to double […]
9 May 2025 Abstract As computing power demands continue to grow, achieving energy efficiency in high-performance systems has become a key challenge. One of the most promising software techniques for energy efficiency is Dynamic Voltage and Frequency Scaling (DVFS) which optimize the energy-performance trade-off by changing hardware frequencies. This presentation […]
28 August 2025 Abstract Constraint programming is a declarative way of solving hard combinatorial, scheduling, resource allocation, and logistics problems. We specify a problem in a high-level language, give it to a solver, and the solver thinks for a while and then gives us the optimal answer. Unfortunately, even the […]
We attended the CLUSTER 2025 conference organised at the University of Edinburgh, Scotland, United Kingdom, between 2 and 5 September 2025. Syed Tauhidi presented a poster on NI-ORCA, a parallel algorithm designed for multi-core processors to efficiently count non-induced graphlet orbits up to four-clique (K4). Extending the existing ORCA framework, […]