Abstract: Hierarchical Kriging (HK) is a promising surrogate model to fuse multi-fidelity data. In theory, HK can serve as predictor for problems with any number of input dimensions. In practice, for ...

This will allow for parameters in JSON format to be automatically available for EtherNet/IP network-capable devices.

Balaji Bodicherla's insights into data modeling innovations highlight the transformative impact of structured CRM ...

Multi-modal foundation models, which can integrate data from various sources ... While curriculum learning can improve a model’s ability to handle multiple tasks through systematic knowledge ...

In the current era of Industry 4.0, the Internet of Things (IoT) and smart manufacturing, data flows are more distributed, and the ISA-95 model originated as a hierarchy. Still, the levels allow ...

When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

The study reveals critical barriers to BIM implementation in Nigeria, offering insights into strategies for overcoming ...

AI needs lots of data to train its systems on, which is how large language models leverage massive data collections to build ...

A new study published in Political Psychology questions a long-standing belief in political psychology: that people with ...

The Luddites lost the fight to save their livelihoods. As the threat of artificial intelligence looms, can we do any better?

The return of Redis creator Salvatore Sanfilippo has borne fruit in the form of a new data type - vector sets - for the ...