Hallucinations / A common (but controversial) term of art for undesirable outputs produced by generative AI, such as when ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

The European Commission published guidelines that clarify the definition of AI systems under the AI Act, analyzing each component of the definition ...

The stores use computer vision and deep learning algorithms to automatically charge customers based on what they take. The company uses AI for recommendation algorithms. When you go on Facebook or ...

preprocessing and performs parameter updating within the sparse Bayesian learning (SBL) framework. Existing SBL algorithms struggle to capture the complex correlations between non-adjacent columns of ...

This open-source package utilizes PyTorch to leverage GPU computations, harnessing the high potential for parallelization offered by the SB algorithm. It also provides an API to define Ising models or ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

To address this issue, this article proposes a new error-weighted collaborative dictionary learning (EWCDL) method for fault detection of rolling bearings. The approach introduces a data fidelity term ...