A University of Chicago study finds that common large language model benchmarks often fail to capture individual user preferences, with many users’ rankings diverging from aggregated scores. Analyzing ...

Abstract: Model extraction attacks currently pose a non-negligible threat to the security and privacy of deep learning models. By querying the model with a small dataset and using the query results as ...

GPT-5.4 cited brand websites at a far higher rate than GPT-5.3. There was almost no citation overlap between models on the same prompts. Most domains cited by GPT-5.4 didn't appear in Google or Bing ...

Public health systems sit on mountains of data — yet insight remains scarce. The organizations closing that gap aren’t just investing in better dashboards. They’re fundamentally rethinking who gets to ...

A new report from the Public Service Alliance finds state privacy laws offer public servants few ways to protect their private data, even as threats against them are on the rise. The report was ...

SpaceX uses your data to train its machine learning and AI models and might share that with partners who 'help us develop AI-enabled tools that improve your customer experience.' From the laptops on ...

DoiT, a global leader in enterprise-grade FinOps and CloudOps solutions, is acquiring SELECT, a data optimization company purpose-built to help organizations gain visibility and control over data ...

Existing photovoltaic (PV) output simulation methods often rely on artificial neural networks for short-term forecasting, and there has been a struggle to capture long-term patterns and stochastic ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...