See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

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, ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...