Get the latest federal technology news delivered to your inbox. An approach called federated learning trains machine learning models on devices like smartphones and laptops, rather than requiring the ...

Seamless access for data analysis across heterogeneous data sources represents ‘the holy grail’ within mainstream enterprises. Designed for Big Data processing and performance at scale, Cirro is a ...

One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.

Federated multi-team CI/CD, modularized multi-repo metadata, team-based governance, and new schema registry with tracking let teams iterate independently while ensuring compliance with centralized ...

OpenAI's ChatGPT system has sent the topic of artificial intelligence through the roof. But so many professionals across industries, including healthcare, do not truly understand how AI works – ...

Get the latest federal technology news delivered to your inbox. Agencies across the government, including in the White House, are planning for, procuring, building, or attempting to scale impact and ...

Researchers from Penn Medicine are studying new AI models using federated learning to improve how brain tumors are detected and treated. Privacy is one of the big ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...