To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a counterintuitive technique: fake it.

The business analytics company’s new Data Maker allows organizations to create synthetic data for AI training.

Urban digital twins pull together tremendous amounts of data to realistically model cities, but they’ve been missing a ...

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...

Yole Group announced the release of its new edition of the Power GaN report, Power GaN 2025. This annual bestseller provides an in-depth analysis of the global power GaN market trajectory, covering ...

By Yangchula Bhutia Ambuj Tewari, University of Michigan You’ve just finished a strenuous hike to the top of a mountain.

Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels A data set of 1052 patients with human epidermal growth factor receptor 2 ...

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