Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

MayimFlow, the Built World stage winner at this year’s TechCrunch Disrupt, is a good example. The startup is focused on ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

A structured data ownership model—rooted in ICH GCP principles, supported by MHRA and FDA interpretations, and documented in validated system specifications—will enable sponsors to maintain compliance ...

If you also overshare with ChatGPT and are concerned about how your sensitive data is handled, you should enable MFA, tweak ...

Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...

Recently, news that BitMine transferred approximately 400,000 ETH to the Ethereum staking system has attracted widespread ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Research shows AI models exhibit loss chasing, illusion of control, and risky behavior when given freedom in gambling ...

While Sanders has proposed a suite of policies aimed at ensuring AI adoption stands to benefit workers, with provisions like ...