This article discusses the importance of deep learning in artificial intelligence and the crucial role of training data in developing successful applications. It also…
Browsing: Synthetic Data
Google AI researchers have developed a novel approach to generating differentially private synthetic data, which preserves user privacy while enabling robust model training. This…
Nvidia is seeking to patent a system for “fairness-based” neural network training using both real and synthetic data to create more balanced and accurate…
Microsoft Research has developed MatterSim, a deep-learning model that uses large-scale synthetic data to accurately and efficiently simulate and predict material properties. It covers…
Fairgen is an Israeli startup that uses “statistical AI” to generate synthetic data for market research. Their platform, Fairboost, promises to “boost” smaller datasets…
Intrinsic and NVIDIA have collaborated to showcase advancements in robotic grasping and industrial scalability through the use of foundation models enabled by NVIDIA Isaac…
Synthetic data is a solution to the challenges of managing and using real-world data for AI, as it provides high-quality data without the risk…
Synthetic data is a solution to the challenges of managing real-world data for AI training. It can be used for both structured and unstructured…
This article presents a simulation study using the ADEMP format to evaluate the replicability of statistical analyses on synthetic data. The study uses real…
Synthetic data is artificial material that can be created by computer programs and AI tools, with images and textual information being the most feasible…