Researchers have developed UNICORN, a multi-task learning framework that predicts cellular expression levels from biological sequences. The approach combines genomic language models with uncertainty estimation to improve prediction reliability across different cell types and conditions.
Researchers have developed a novel optimization scheme that mimics butterfly foraging behavior to enhance wireless sensor network performance. The approach reportedly achieves significant improvements in energy efficiency and network longevity compared to existing methods.
Scientists have developed an innovative multi-objective optimization scheme that reportedly addresses critical energy challenges in wireless sensor networks, according to research published in Scientific Reports. The new approach, which draws inspiration from butterfly foraging behavior, demonstrates substantial improvements in network performance metrics compared to existing solutions.
