A Vienna-based startup has raised $4 million to scale a software platform that generates synthetic satellite data for training AI models to detect environmental and operational risks.

Cuba is grappling with a fast-growing wave of synthetic drug use that is hitting young people hard. On a recent weekday, The Associated Press visited Havana’s psychiatric hospital and saw ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Skymantics' DataGenesis Engine Now Feeds the Anna Orchestration Layer, Enabling High-Fidelity "What-If" Simulations ...

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Cignal LLC d/b/a Cignal Defense today announced the expansion of its machine vision AI capabilities beyond its foundational homeland security work into the broader defense and industrial base ...

Another Earth, a company developing AI-powered simulation and synthetic data for Earth observation, has raised a total of €3.5 million in funding. The round includes new investment from Wake-Up ...

Christine Dunham is a leading expert on the ribosome—an elaborate macro-molecular machine that operates like a factory within a cell to manufacture proteins. "The ribosome is really the most ...

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create synthetic data in a can solve this bottleneck.

In this tutorial, we build a complete, production-grade synthetic data pipeline using CTGAN and the SDV ecosystem. We start from raw mixed-type tabular data and progressively move toward constrained ...

NVIDIA's NeMo Data Designer enables developers to build synthetic data pipelines for AI distillation without licensing headaches or massive datasets. NVIDIA has published a detailed framework for ...