As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.
Abstract: The middle reaches of the Yangtze River are important water sources and economic zones in China. Accurate water level forecasts are critical for water resource management and flood ...
Abstract: With the rapid expansion of Wide Area Networks (WANs), traffic engineering (TE) faces increasing challenges in optimizing network traffic to ensure high-bandwidth, low-latency services.
Supply- and Demand-Driven PCE Inflation updates data on the contributions to personal consumption expenditures (PCE) inflation from supply-driven versus demand-driven components. This tool is intended ...
University of Liverpool researchers have discovered a way to host some of the most significant properties of graphene in a three-dimensional (3D) material, potentially removing the hurdles for these ...
Salary: The PhD position is fully funded by QMUL and the PhD student will receive tuition fees at the home rate and a London stipend at QMUL stipend rates (currently in 2025/26 of £21,874 per year, to ...
Massive cuts to global health-care funding have had a huge impact on the continent, but a more resilient system can be built from within.
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