Abstract: The increased volume of medical datasets has produced high dimensional features, negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is fundamental ...
A new bootfitting technology is aiming to eliminate endless hours in a shop modifying boots. We tested it, and yes, there ...
Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...
Ever looked at a Rubik’s Cube and felt a mix of curiosity and frustration? The colorful puzzle has captivated millions since its introduction in the 1970s, becoming a symbol of both challenge and ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Abstract: A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization (PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO is a new ...
AI solution to make neighbourhoods safer for seniors among projects at new urban planning exhibition
SINGAPORE – Using a mix of sensors, robots and AI, an ongoing study is teaching urban planners how to make Singapore’s neighbourhoods safer for its ageing population. It starts by getting seniors to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results