Open Source and the Big Data dilemma Consumers are forced to choose between proprietary systems that limit their ownership and Open Source alternatives that exploit their data.

Open-source ‘Apertus’ LLM could appeal to enterprises struggling to meet the privacy and copyright demands of AI regulation.

More than 40% of organizations surveyed by Anaconda say they’re pulling back on their use of open source data science tools due to security concerns, with potential vulnerabilities such as Log4j the ...

The openSNP project, a platform for sharing genetic and phenotypic data, will shut down on April 30, 2025, and delete all user submissions over privacy concerns and the risk of misuse by ...

OpenSNP, a large open source repository for user-uploaded genetic data, will shut down and delete all of its data at the end of April, co-founder Bastian Greshake Tzovaras has confirmed.

When it comes to privacy, big data analysts have a responsibility to users to be transparent about data collection and usage. Here are ways to allay users' concerns about privacy and big data.

Big data is an asset which can create tens of thousands of jobs and generate hundreds of billions for the economy, but the opportunity can't be taken until concerns about privacy and security have ...

The emergence of a newly popular artificial intelligence (AI) model from Chinese startup DeepSeek is raising national security and data privacy concerns for the U.S., not unlike those that spurred … ...

The company has unveiled two new open-weight language models, gpt-oss-120b and gpt-oss-20b, marking the firm's first public release of freely available AI model weights since GPT-2 in 2019, long ...