GPT-5.5 scored 82.7 per cent on Terminal-Bench 2.0, which tests complex command-line workflows. GPT-5.5 also reached 58.6 per ...

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

A study published in Engineering explores a novel robot subset selection strategy for multi-user edge computing systems, designed to maximize the ...

Curious how robot swarms can operate far longer in 6G edge computing setups? A new Engineering study reveals a smart subset selection strategy that taps into data correlation between robots, cutting ...

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

Datasets often incorporate various functional patterns related to different aspects or regimes, which are typically not equally present throughout the dataset. We propose a novel partitioning ...

Increasing the size of the System Reserved Partition without third-party software requires the execution of the required commands in the Command Prompt. Therefore, this method is only for advanced ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

Abstract: As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing ...

ABSTRACT: Efficient data management in healthcare is essential for providing timely and accurate patient care, yet traditional partitioning methods in relational databases often struggle with the high ...