Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially devastating storms whose heavy rainfall and powerful storm surges cause ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Huang J, Galal G, Etemadi M, Vaidyanathan M. Evaluation and mitigation of racial bias in clinical machine learning models: scoping review. JMIR Med Inform . 2022;10(5):e36388. doi:10.2196/3638 18.

Researchers in Japan have developed a predictive model that could improve treatment decisions for advanced pancreatic cancer patients. By combining tumor marker readings with patients' genetic ...

Three predictive models (clinical model, small SNP model, and large SNP model) were created by the PWL algorithm using the clinical data alone and using eight and 49 SNPs in addition to the clinical ...

This paper investigates the empirical relationship between predictive performance, often called predictive power, and interpretability of various Machine Learning algorithms, focusing on bicycle ...

Figure 1.Flowchart for project Risk management. As shown in Figure 1, there are different phases of the project risk management and all the stages are clearly explained below.. 3. Methods and ...