Forecasts of explosive AI progress predict that what researchers call recursive self-improvement is on the horizon.  But a new study suggests that it might take a while for us to get there. The ...

Researchers built a clinical framework to study the reasoning of smaller open-source AI models to make them more accessible and cost-effective, especially in rural areas.

Here is what changes when you cannot afford to be probabilistic about everything, and how a cascade architecture solves it.

A new control theory paper offers a way to certify learning based controllers from limited data, something that could ...

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI demonstrates brain-faithful training on convolutional networks for the first time ...

Harvard Free Online Courses: Harvard University is offering a range of free online courses for learners interested in artificial intelligence, data science, and programming. These self-paced and ...

Abstract: In distributed machine learning scenarios, the difference in data distribution among different nodes is a key issue that cannot be ignored. However, existing methods make it difficult to ...

If you’re accustomed to trekking to a coffee shop for your first caffeine shot of the day, the idea of traveling no farther than your own kitchen is probably tempting, not to mention practical, ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...