This review concentrates on the application of AI in TCM target prediction, including multi-omics techniques, TCM-specialized databases, machine ... of the AI algorithms using zero-shot learning, ...

Objectives The aim of this study was to evaluate the performance of deep learning-based detection and classification ... from 10 Chinese hospitals in different regions. The overall flow chart of this ...

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

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

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 ...

The neural network adapts as different conditions are encountered, allowing the squid to make decisions and strengthen its algorithms. [ViciousSquid] is using a Hebbian learning algorithm which ...

The neural network adapts as different conditions are encountered, allowing the squid to make decisions and strengthen its algorithms. [ViciousSquid] is using a Hebbian learning algorithm which ...