Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Bias-free performance evaluation: AI tools can analyse hundreds or even thousands of data points—from the number of emails sent per day to the number of meetings booked, sales calls made, new hires ...

Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

With the hype around machine learning (ML) and the rush to transform businesses with it, unsurprisingly, not all ML projects ...

When it comes to vehicle testing and validation, nothing we’ve encountered before comes close to the complexity of autonomous ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos. Some of these models, such ...

Pore pressure stands as a foundation parameter for an optimal mud density window evaluation; thus, its accurate prediction plays an essential role in the success and safety of the well-drilling ...

In order to evaluate the effectiveness of these machine learning and ensemble models, the benchmarks dataset having phishing and normal site samples, the study assesses the performance of the ...

The combined multiple machine learning performance measure (CMMLPM) offers a groundbreaking framework for evaluating machine learning (ML) systems by integrating multiple performance metrics into a ...

According to @OpenAI, the company has launched the Safety Evaluations Hub, a dedicated resource providing ongoing updates on safety metrics for its AI models (source: OpenAI Twitter, May 14, 2025).