Real-world environments are often non-stationary. Machine learning systems such as classifiers used for pattern recognition often make the stationarity assumption in input data distribution density ...

Google has announced HOPE, a new AI model that’s developed in an effort to help machines learn and adapt over time. The firm describes HOPE as a “self-modifying” system that contains an innovative ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

What if artificial intelligence could evolve as seamlessly as humans, learning from every interaction without forgetting what it already knows? Prompt Engineering takes a closer look at how the ...

I have multiple MASc and PhD openings in my research group. My group's broad research focus is on robotics, machine learning, and human-robot interaction, with specific interests in continual learning ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you're looking for a job that pays six figures, is always ...

What if the so-called “AI bubble” isn’t a bubble at all? Imagine a world where artificial intelligence doesn’t just plateau or implode under the weight of its own hype but instead grows smarter, more ...