Whether that’s adjusting tactics pre-match, predicting outcomes or preventing injury, data science is changing the game. The ...

Anup Iyer of Moore & Van Allen discusses legal challenges related to data privacy arising from AI and provides guidance for in-house counsel on establishing frameworks for responsible utilization ...

A determining factor in the next phase of AI advancement will be whether tech firms can gather enough data to support generative AI as it progresses rapidly.

TeraHelix helps solve complex, enterprise-scale data challenges by providing frameworks that structure data models for smooth interoperability across platforms, systems and storage architectures.

My research explores the advantages of synthetic data in creating more diverse and secure AI models, potentially addressing the risks of model collapse. I also probe key challenges and ethical ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

In risk modelling, quality data might include up-to-date credit scores, income information, payment histories, and other financial indicators. It should be free from errors, duplications, and ...