Tag: Synthetic data

Discover Stressor: An R package created to help researchers determine the accuracy of predictive models quickly. The package allows R users to leverage the power of Python's PyCaret library without learning Python itself, making it easier to compare and refine machine learning models. With synthetic data set generation functions and accuracy comparison metrics, this package is a valuable tool for machine learning experts and beginners alike.

Create high-quality 3D models with 3DFY Prompt! This new Israeli-based technology uses AI to generate 3D models from text prompts, comparable to those made by 3D modelers, and it's completely ethical and free to use.

Parallel Domain has launched Reactor—a state-of-the-art synthetic data generation engine that uses advanced generative AI technologies and 3D simulation capabilities to create detailed, realistic, and diverse training datasets for ML developers. Reactor provides control and scalability to create varied synthetic data sets with natural language prompts, helping to optimize AI investments for success.

Betterdata, a Singapore-based startup, has raised $1.55M from prominent venture capitalists to develop programmable synthetic data and privacy engineering solutions that protect real data while complying with all the data protection regulations. By using generative AI models, the company creates datasets similar to the real world without any leakage of confidential info. Lead investor Investible applauded the initiative of the Dr. Uzair Javaid-founded startup to tackle the lack of quality data that meets the privacy requirements.

Synthesis AI has unveiled a revolutionary new way of creating lifelike 3D digital humans from text prompt. Using cutting-edge generative AI, Synthesis Labs creates high-resolution human models fit for gaming, VR and industrial simulations. Their Synthesis Humans and Synthesis Scenarios products offer perfectly labeled synthetic data for ML training. Get your 3D digital humans today with Synthesis AI!