AI has unlocked a century of solar history from hand-drawn observations at Kodaikanal Solar Observatory. Researchers used ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability ...

Abstract: Deep learning-based techniques have emerged as powerful tools for fault diagnosis. However, conventional deep learning methods require designing and training fault diagnosis models from ...

As humans, our eyes take in two-dimensional images our brains convert to three-dimensional experiences. This ability enables us to ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Jash Rana (MIE MASc 2T6) applies his knowledge of computational and mathematical simulations to accelerate the adoption of ...

Practical implementation of an astoundingly simple method for self-supervised learning that achieves a new state of the art (surpassing SimCLR) without contrastive learning and having to designate ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...