Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...
A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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