A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Artificial intelligence and machine learning are reshaping how investors build and maintain portfolios. These tools bring ...

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Reactive planning and control capacity for collaborative robots is essential when the tasks change online in an unstructured environment. This is more difficult for collaborative mobile manipulators ...

Detailed price information for Netramark Holdings Inc (AIAI-CN) from The Globe and Mail including charting and trades.

The new AI data-quality standards are particularly significant, aiming to improve accountability and reduce bias in regulated ...

LifeTracer, a computational framework, was developed to analyze mass spectrometry data, identifying molecular features that distinguish abiotic from biotic origins. Georgia Tech and NASA used advanced ...