Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Lack of visibility and governance around employees using generative AI is resulting in rise in data security risks ...

While there are countless options for self-hosted answering engines that function similarly to Perplexity, two of the most ...

Genie Sim 3.0 draws from more than 10,000 hours of synthetic dataset, including real-world robot operation scenarios.

Nvidia ( NVDA) CEO Jensen Huang unveiled Alpamayo, a family of open models built for autonomous driving, during his keynote ...

Data masking and anonymization solutions are used by organizations to safeguard sensitive data by removing personal ...

A new study shows bots can be indistinguishable from humans in survey responses. There’s bad news for those using digital ...

Here is the full list of the enterprise tech Startup Battlefield 200 selectees, along with a note on what made us select them ...

Don't sleep on this study. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google Claude-creator Anthropic has ...

Robotics teams have typically needed huge amounts of data to train and evaluate their systems. As demand has grown, the systems have become more complex, and the quality bar for real-world and ...

Differentially private (DP) synthetic data generation is a promising technique for utilizing private datasets that otherwise cannot be exposed for model training or other analytics. While much ...

A production-ready pipeline for generating high-quality synthetic training data for fine-tuning LLMs on cancer-domain entity extraction tasks. synthetic-data-ft/ ├── src/ │ ├── main.py # Production ...