Machine Learning: Sensors Get Linked In. Aug. 22, 2019. ... Machine learning is a set of algorithms that creates its own algorithms to allow a machine to perform better.

Researchers use various sensors on Unmanned Aerial Systems equipped with high-definition infrared cameras and navigation to enable standoff detection of explosive hazards using machine learning ...

Machine learning (ML) could allow drug firms to create predictive process models that optimize development, production, and quality control. But, before embracing ML on the factory floor ...

Tiny sensors, similar to breathalyzers, could "sniff out" bacterial infections and detect antimicrobial-resistant bacteria in ...

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

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 ...

By choosing an algorithm at runtime, Microsoft is getting around the worst of the training costs of anomaly detection. The algorithm it uses may not be perfect, but it will be a lot better than ...

In this study, we asked whether we could decode the immune system's record of these disease encounters by interpreting this highly variable information with some new machine learning techniques.