In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Cognitive scientist Douglas Hofstadter has argued that we redraw the borders of “real intelligence” whenever machines reach ...

The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...

Abstract: In cybersecurity, intrusion detection systems are crucial for determining and mitigating attacks. However, the class imbalance in datasets like NSL-KDD, where attack instances are ...

Abstract: The need to detect and classify malware on Android devices has become crucial due to the widespread use of these devices daily. This paper presents a method for detecting and classifying ...