The study found that a 30-second ECG reading delivered instant feedback on their stress levels with an accuracy of 52 percent to 64 percent, compared with 60 percent to 80 percent for “state-of ...

Each group of machine learning algorithms has its own dedicated metrics. In the case of Anomaly Detection, we distinguish two metrics that are accessible in ML.NET: AUC - ROC curve and Detection ...

The team enrolled over 2,000 participants in a study that employed the algorithm to look for extended periods when heart rate is higher than normal — a sign that something might be amiss.

Interested in understanding how AI and machine learning are being used to prevent bot-based fraud attempts, I attended a few recent webinars with Kount's 3 Key Elements Needed For Successful Bot ...

As the company explains, the Sense 2 can “track your stress in real-time by using a machine learning algorithm that was trained to know what to look for, like sweat levels, but also heart rate ...

As a result, NLP greatly extends the capabilities and effectiveness of machine learning. The Deepfake Challenge Then, there is the “most entertaining” fraud of them all: deepfakes.

Fraud detection is one of the most important applications for machine learning in finance. Something as seemingly insignificant as a person using a computer in a non-typical way to complete an ...