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April 2022 Discussion Paper: Applications and Techniques for Fast Machine Learning in Science

Overview:

"Machine learning (ML) is making a huge impact on our
society and daily lives through advancements in computer
vision, natural language processing, and autonomous vehicles,
among others. ML is also powering scientific advances..."

Exemplars of domain applications:

Large Hadron Collider

"The Large Hadron Collider (LHC) at CERN is the world’s largest
and highest-energy particle accelerator..." (page 4)

Biomedical Engineering

"Context: We have seen an explosion of biomedical data, such as biomedical images, genomic sequences, and protein structures, due to the advances in high-resolution and high throughput biomedical devices. AI-augmented reality-based microscopy (Chen et al., 2019) enables automatic analysis of cellular images and real-time characterization of cells..." (page 14).

Health Monitoring

"Context: Our habits and behaviors affect our health and wellness. Unhealthy behaviors such as smoking, consuming excessive alcohol, or medication non-adherence often has an adverse effect on our health....With the advent of mobile and wearable devices, it is gradually becoming possible to monitor various human
behaviors automatically and unobtrusively..." (page 15).

https://www.ncbi.nlm.nih.gov/p....mc/articles/PMC90414

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