Neuroscientist Franziska Bröker is studying how both humans and machines learn without supervision—like a child on their own—and has uncovered a puzzle: Unsupervised learning can either help ...

Despite all the media buzz surrounding Artificial Intelligence (AI), these smart-bots’ intelligence remains very different from human IQ. AI may crunch gigabytes of data while simulating ...

Machine Learning Can make low/moderate complexity decisions Data features are defined by humans Accuracy improvements by system and humans Uses labeled or unlabeled data Does not use neural ...

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them.

Artificial intelligence (AI) is a broad term used to describe various types of virtual "intelligence" designed to replicate aspects of human cognitive abilities. Machine learning (ML) is a type of ...

'Human in the Loop’ Learning describes a setup whereby a learning machine or computer system can incorporate selected human inputs or labels into its inferences or learning process, and thereby ...

With the rise of machine learning tools such as ChatGPT, we’ve seen a lot of speculation regarding what that looks like for the future of human creativity at work.

Making humans better managers With the use of machine learning, companies can ensure that these biases in the workplace, whether inherent or on purpose, are eliminated.

Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems.

Machine learning is starting to take over analyzing medical images. But AI tools also raise worrying questions because they solve problems in ways that humans can't always follow.

Deep Learning, a subset of machine learning, takes inspiration from the human brain. Here, artificial neural networks, which mimic the way neurons signal each other, are used to process data in ...