To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

Zhipu claims GLM-Image achieved industry-leading scores among open-source models for text rendering and Chinese character ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

FedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

World models — AI algorithms capable of generating simulated environments — represent one forefront of machine learning. Today, Microsoft published new research in the journal Nature detailing Muse, a ...