Many organizations would be hesitant to overhaul their tech stack and start from scratch. Not Notion. For the 3.0 version of ...

While AI modeling involves building computational models that enable AI software to learn from data and create content, AI model optimization techniques enhance the efficiency and effectiveness of ...

In the field of education, understanding and addressing students' emotions has become fundamental to creating effective and ...

As heterogenous integration increases design complexity and forces engineers out of long-standing silos, model-based systems engineering (MBSE) is becoming essential for improving quality and reducing ...

About six months after coming out of stealth with $50 million in funding, Latent Labs has released a web-based AI model for programming biology. Latent Labs‘ model has “achieved state-of-the-art in ...

The study, titled “Application of Generative AI in Financial Risk Prediction: Enhancing Model Accuracy and Interpretability”, evaluates how generative AI methods can outperform traditional econometric ...

The idea of simplifying model weights isn't a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...

DeepSeek found that it could improve the reasoning and outputs of its model simply by incentivizing it to perform a trial-and-error process until it gets the right answer. In an article accompanying ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...