As artificial intelligence models continue to evolve at ever-increasing speed, the demand for training data and the ability to test capabilities grows alongside them. But in a world with equally ...

In the rapidly evolving landscape of the finance industry, the advent of synthetic data stands out as a groundbreaking development to revolutionize the way financial institutions harness data for ...

As more companies invest in generative AI (gen AI) for bespoke use cases and products, proprietary data is becoming increasingly important to training large language models (LLMs). Unlike ChatGPT, ...

* The Matrix analogy: Are we training AI inside simulations? Whether you're a data scientist, CTO, or just curious about how AI models learn, this episode offers a deep dive into one of the most ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now AI is facing several critical challenges.

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. Artificial intelligence (AI) relies heavily on large, diverse and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

The enterprise data analytics software company SAS Institute Inc. is moving into the realm of synthetic data to boost its artificial intelligence portfolio with the acquisition of intellectual ...

Synthesis AI, a startup developing a platform that generates synthetic data to train AI systems, today announced that it raised $17 million in a Series A funding round led by 468 Capital with ...

While AI has delivered incredible breakthroughs in pattern recognition and organizing immense data sets to help humans make better decisions, certain issues related to bias and privacy have created ...