Celestica has delivered strong revenue and EPS growth, driven by AI and cloud infrastructure demand. Click here to read why ...
The electronic and magnetic properties of two-dimensional materials both have strong potential for technological applications. Researchers have long assumed that they are distinct phenomena, but ...
Marketers who want to remain competitive need to reexamine the way they view, plan and measure performance across video and streaming platforms. If they’re still debating programmatic vs. direct or ...
To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
When most people hear "polymer," they think of plastics. In our group, polymerization is a way to line up identical molecules like beads on a string and let quantum mechanics take over. Put magnetic ...
Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...
Abstract: Node and graph-level clustering hold considerable significance for a wide range of applications, including drug target identification and protein function prediction. Recently, contrastive ...
This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...
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