How AI could enable autonomous robot workers in workplaces—and maybe homes

In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones ...

Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Machine Learning with Oversampling and Undersampling Techniques: Overview Study and Experimental Results

Abstract: Data imbalance in Machine Learning refers to an unequal distribution of classes within a dataset. This issue is encountered mostly in classification tasks in which the distribution of ...
IEEE

Machine-Learning-Assisted Optimization for Antenna Geometry Design

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...
MIT Technology Review

Teaching AI to run with the turbines

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
MIT Technology Review

Building the foundation for an autonomous enterprise

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...