BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Representation begins with showing up. And no algorithm can shake a hand, hear a quiver in someone’s voice, or recognize the weight behind a sigh. That takes a person. That takes presence.

Artificial intelligence (AI) is transforming the electronic system design methodology. In early June, Graser hosted its ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Google, Facebook and LinkedIn are among those utilising ...

Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and ...

Specifically, this network combines a 3D GCN-based decoder for teeth segmentation and a 2D decoder for dynamic adjacency matrix learning (DAML) to capture SDPTIC information for individual graph ...

The finding: Many people feel disconnected from the individuals they’ll be in the future and, as a result, discount rewards that would later benefit them. But brief exposure to aged images of ...

The top-performing combined classifier achieved an AUC of 0.94 (95% CI, 0.90–0.98) in the internal retrospective validation group, 0.85 (95% CI, 0.79–0.91) in the external validation group, and 0.87 ...

This repository serves as the centralized hub for all machine problems (MPs) of Group 6 in the Design and Analysis of Algorithms course. Each machine problem is developed and maintained in its own ...

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