Anders Billesø Beck, VP of innovation and strategy at UR (Universal Robots), discusses five AI-powered robotic applications ...

A new study published in PLOS One introduces a large-scale method for detecting political bias in online news sources using ...

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 ...

Postpartum depression (PPD) affects up to 15% of individuals after childbirth. Early identification of patients at risk of ...

A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

Multimodal models & AI agents are reshaping dev work. Microsoft says it's the 'age of AI agents' -- are you ready?

Windows machine learning is one of the highlights of this year’s Microsoft annual developer event. The company is also paving ...

A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...

There can be no doubt that data is the life blood in today’s high-octane high-speed environment of artificial intelligence (AI). The capability of a machine learning framework is more or less directly ...

Amazon reveals a limitation in using large language models to evaluate AI translation quality: the longer the text, the worse ...