ML10210 TSTR score

How to evaluate the quality of the synthetic data – measuring from the perspective of fidelity, utility, and privacy

In an increasingly data-centric world, enterprises must focus on gathering both valuable physical information and generating the information that they need but can’t easily capture. Data access, regulation, and compliance are an increasing source of friction for innovation in analytics and artificial intelligence (AI). For highly regulated sectors such as Financial Services, Healthcare, Life Sciences, …

ML10210 sagemaker landing

Augment fraud transactions using synthetic data in Amazon SageMaker

Developing and training successful machine learning (ML) fraud models requires access to large amounts of high-quality data. Sourcing this data is challenging because available datasets are sometimes not large enough or sufficiently unbiased to usefully train the ML model and may require significant cost and time. Regulation and privacy requirements further prevent data use or …

Speech AI Year in Review

Almost anywhere you looked, AI-based speech technologies continued to blossom in 2022, from increased interest measured in Google Trends, to surprising medical advances that suggest speech patterns can help detect some illnesses, to the variety of digital services and devices that users control with their voices.  At Google Cloud, we spent 2022 making the best …

AI’s Highlight Reel: Top 5 NVIDIA Videos of 2022

If AI had a highlight reel, the NVIDIA YouTube channel might just be it. The channel showcases the latest breakthroughs in artificial intelligence, with demos, keynotes and other videos that help viewers see and believe the astonishing ways in which the technology is changing the world. NVIDIA’s most popular videos of 2022 put spotlights on …

Accelerated Computing, AI and Digital Twins: A Recipe for US Manufacturing Leadership

A national initiative in semiconductors provides a once-in-a-generation opportunity to energize manufacturing in the U.S. The CHIPS and Science Act includes an $13 billion R&D investment in the chip industry. Done right, it’s a recipe for bringing advanced manufacturing techniques to every industry and cultivating a highly skilled workforce. The semiconductor industry uses the most …