Naizhong Cui Enhances Urban Traffic Engineering Through Data-Driven Forecasting and Infrastructure Optimization Frameworks

A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...

WiMi Develops Single-Qubit Quantum Neural Network Technology for Multi-Task Design

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of single-qubit quantum neural network technology for ...
IEEE

Olivier Vo Van

Aleatoric Uncertainty,Bayesian Model,Bayesian Neural Network,Cost Function,Crack Length,Crack Propagation,Epistemic Uncertainty,Future Values,Loss Function,Mean Absolute Error,Multi-objective ...
IEEE

Joint Optimization of 3D Trajectory and Resource Allocation in UAV Assisted Wireless Networks

Abstract: Recently, with the users' growing demand for communication rate and capacity in wireless networks, Unmanned Aerial Vehicles (UAVs) have attracted widespread attention due to their mobility, ...

Thinking Big With AI: Transformation Vs. Optimization

When evaluating AI outcomes, leaders should take a step back and look at the big picture. What is the enterprise trying to ...
eLife

CellCover Defines Marker Gene Panels Capturing Developmental Progression in Neocortical Neural Stem Cell Identity

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...
Quanta Magazine

Researchers Discover the Optimal Way To Optimize

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
Fabbaloo

MIT Researchers Develop Generative CAD System Optimized for 3D Printing Constraints

Researchers have developed a generative CAD system specifically for 3D printing. Generative CAD tools have been around for several years, and they are fun to use. They’re quite different from normal ...