Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...

AI scaling faces diminishing returns due to the growing scarcity of high-quality, high-entropy data from the internet, pushing the industry towards richer, synthetic data. Nvidia is strategically ...

In today’s dynamic global economy, financial institutions are increasingly confronted with uncertainties that defy historical precedent. Traditional stress testing long reliant on past market data ...

On November 7, CAAI hosted Dr. Ryan Kappedal, ’19, a Booth alumnus and Technical Lead Manager at Google, for an insightful discussion on the evolving landscape of AI and the critical role of data ...

Synthetic data has rapidly transitioned from experimental curiosity to enterprise standard. Companies now rely on it to train credit models, medical diagnostic systems, customer segmentation engines, ...

In September 2022, Deutsche Bank’s Corporate Venture Capital group made an investment in Synthesized, a UK-based synthetic data company. At the time, the companies said that through synthetic, ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...