Cracking the code: How a 'prediction machine' is resurrecting the Singapore Stone

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
IEEE

MAGNETO: A Genetic Algorithm-Based Power-Aware Mapping Optimization Framework for Mobile NPUs

MAGNETO is a power-aware genetic search framework for mapping deep neural network layers onto neural processing units with strict power constraints. MAGNETO incorporates a penalty-based constraint ...
EurekAlert!

21st century vitamin hunters: A systematic framework for matching nutrients to genetic diseases

In this illustration, all 13 classical vitamins grow from a tree rooted in DNA, representing a nutritional genomics framework that connects genetic information to precision vitamin therapies. By the ...
Frontiers

Adaptive multi-mode locomotion for bipedal wheel-legged robots via sparse mixture-of-experts deep reinforcement learning

The bipedal wheel-legged robot combines the high energy efficiency of wheeled movement with the terrain adaptability of legged locomotion. However, achieving a smooth transition between these two ...
IEEE

Genetic Algorithm-Based Two-Step Optimization for Precise Latent Factor Analysis

Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...
Frontiers

Editorial: Learning-driven optimization for solving scheduling and logistics

Many real-world applications for complex industrial engineering or design problems can be modelled as optimisation problems. These problems often have features such as multi-modality (multiple optimal ...