Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

CNBC's Squawk Box Asia Martin Soong and Chery Kang talk about AMD's chip supply deal with OpenAI, plus the web of alliances, cross shareholdings and the money loop that could shape the AI space.

Rapidly accumulating, large-scale and long-term meteorological data provide unprecedented opportunities for data-driven meteorological models and fine-grained numerical weather prediction. Many ...

ABSTRACT: The excessive computational burden encountered in power market analysis has necessitated the need for obtaining reduced equivalent networks that preserve flows along certain selected lines ...

CHICAGO--(BUSINESS WIRE)--Matrix Executions, an agency-only broker dealer and trading technology provider, has enhanced its US listed options algorithm technology suite with new price discovery and ...

The Department of Marine Technology, Ocean University of China, Qingdao, China Coverage path planning (CPP) for target search by autonomous unmanned vehicle (AUV) involves two crucial aspects: (1) the ...

Parallel computing continues to advance, addressing the demands of high-performance tasks such as deep learning, scientific simulations, and data-intensive computations. A fundamental operation within ...

Impact Statement: When utilizing graph neural networks, it is often the case that the weight relationships between nodes are not well understood. This is particularly true in the context of using ...

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