Chinese and Singaporean researchers have developed a defense mechanism that poisons proprietary knowledge graph data, making ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...
SLR Investment's portfolio remains resilient, with low non-accruals and a high concentration in financials and healthcare.
Founder Reports looks at how leadership approaches designed for in-office environments can be improved to meet the needs of ...
TORONTO, ONTARIO, CANADA, January 5, 2026 /EINPresswire.com/ — As 2025 came to a close, Tom Vukota took a moment to reflect on the work, milestones, and professional themes that have shaped the year.
Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
Numbers in rows tell one story, but charts and graphs reveal patterns you might otherwise miss. Create a simple line graph ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Secure stronger market performance by unifying your brand signals across search, AI platforms, and on-site experiences.
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