The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

The most plausible justification for this is fear of slower economic growth. Most companies have not found a use case for AI ...

Uncharted, the company unveiled a series of new features focused on removing unnecessary complexity and consolidating ...

Modern analytical placers formulate the placement objective as a nonlinear optimization task ... particularly leveraging graph convolution networks (GCNs). However, learning-based placers require time ...

Researchers from the Chinese Academy of Sciences have developed a breakthrough technique called vdW squeezing to create large, stable, atomically thin 2D metals at angstrom-scale thickness ... with ...

42 Channel estimation for extremely large-scale massive MIMO far-field near-field or hybrid ... 45 IRS-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design Under Nonlinear Harvester ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

Despite its computational advantages offered by GPUs in GNN training, the limited GPU memory capacity struggles to accommodate large-scale graph data, making scalability a significant challenge ...