EurekAlert!

Smart memory replay: Harnessing unlabeled data for efficient class-incremental learning

Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
Tech Xplore on MSN

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Frontiers

Machine Learning for Inverse Design and Optimization of Metamaterials

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
The New York Times

The Best Language Learning Apps

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Justin Pot Our upgrade pick, Babbel, has discontinued its premium Live service ...
Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...