Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can ...

After more than 100 unsuccessful job applications, Derek Mobley sued software firm Workday for discrimination, claiming its algorithms screened him out.

Cloud-native technologies — while they deliver customer-facing applications and new features faster than ever — come with potential challenges, like complex dependencies.

In this article, we present the Genetic Algorithm for Application Placement (GAAP), an evolutionary computing-based meta-heuristic designed to help IoT application developers find deployments that ...

Graph representation learning has the property of causal inference of relation, and integrates graph structure with recommendation system, which effectively reduces the number of iterations required ...

Graph Neural Networks (GNNs) are a recent family of Neural Network models specifically designed to harness the inherent structure and dependencies present in graph-structured data, revolutionizing the ...