A type of attack called “membership inference” makes it possible to detect the data used to train a machine learning...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus,...

Semi-supervised learning is a brilliant technique that can come handy if you know when to use it. You can use...

In machine learning, crowd wisdom is achieved through ensemble learning. For many problems, the result obtained from an ensemble, a...

The triggerless backdoor can provide new directions in research on adversarial machine learning. Like every other technology that finds its...

Data poisoning is a special type of adversarial attack, a series of techniques that target the behavior of machine learning...

We must be cautious when comparing AI to humans, even if it shows equal or better performance on the same...

What we need is not AI that learns everything from scratch, but algorithms that, like organic beings, have intrinsic capabilities...

The dangers of AI algorithms can manifest themselves in algorithmic bias and dangerous feedback loops, and they can expand to...

How effective is deep learning in scientific research, where problems are often much more complex than classifying an image and...

Will advances in artificial intelligence redefine the boundaries of human creativity? (Credit: Depositphotos) Will machines ever be able to replace...

Cognitive scientist Gary Marcus believes advances in artificial intelligence will rely on hybrid AI, the combination of symbolic AI and...