A commentary advocates the proper application ... learning algorithms (that do not receive explicit instructions regarding the outcome) are often still regarded as a 'black box'. For example ...

in a classical ensemble learning framework. EDL can overcome challenges related to unequal class distributions, small sample sizes, noisy data, etc. EDL methods are more robust than individual ...

ZAC Cognitive Explainable-AI (CXAI) algorithms, based on Concept-Learning ... Some applications of ZAC Tech are: autonomous vehicles, satellite/aerial images, security/biometrics, medical imaging ...

Machine learning is a form of artificial intelligence that uses algorithms to allow a system to learn from data. There are many potential applications ... scope of regulation. For example, proper ...

Whether it’s machine-learning software that analyzes medical images or a generative ... Then there are scarier examples—including health-care algorithms that make errors because they’re ...