Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

Recorded content, as an important carrier of learning scenarios, is no longer just a simple "classroom replay." To truly serve learning needs, the core lies in mining structured knowledge from vast ...

"We had a big, I don't know, existential crisis among students a few years back," Jure Leskovec told Fortune, "when it kind of wasn't clear what our role is in this world." ...

One powerful way to do this is through a routine called slow reveal graphs.

Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or ...

The decline in religiosity over the past 15 years is twice as great as the decline in 1960s and 1970s. An update through 2013 is now available here. Religiosity in the United States is in the midst of ...

The same large model can also have different version types, such as DeepSeek R1, DeepSeek V3, etc. Different version numbers represent comprehensive evolution, such as larger parameters, faster speeds ...

Building an accurate model of Earth’s climate requires a lot of data. Photography reveals the extreme efforts scientists have ...

Abstract: Memory performance bottlenecks the execution of graph applications, from traditional graph analytics (GA) to rapidly evolving graph neural networks (GNNs), due to the large size and ...

Abstract: Cross-domain recommendation (CDR) has received attention to solve the cold-start and data sparsity problems. Existing methods mainly focus on the information about overlapping users or items ...

This is a PyTorch implementation of the GraphATA algorithm, which tries to address the multi-source domain adaptation problem without accessing the labelled source graph. Unlike previous multi-source ...

Discover Clear Channel Outdoor's 2025 growth strategy—digitization, AI, and U.S. focus—driving revenue, innovation, and deleveraging.