In my quest for digital clarity, I've dipped my toe (and sometimes fully submerged myself) into nearly every popular option.

Though considerably less complex than the human brain, advanced AI models are of sufficient complexity to resist their ...

BrainNet Functional Brain Network Analysis Data are constructed from the ... ‘x 1.0’ indicates the class label of this graph. For binary classification, 1.0 means positive, -1.0 means negative.

Abstract: The goal of the hypergraph foundation model (HGFM) is to learn an encoder based on the hypergraph computational paradigm through self-supervised pretraining on high-order correlation ...

the emotion features of the individual are captured by a dynamic connection graph in the subject-dependent setting. Subsequently, reverse regulation is simulated by contrast learning based on label ...

This useful study explores the role of RAP2A in asymmetric cell division (ACD) regulation in glioblastoma stem cells (GSCs), drawing parallels to Drosophila ACD mechanisms and proposing that an ...

This valuable study provides insights into a key question in comparative neuroanatomy and development. The authors provide evidence of the role for a particular micro-RNA in regulating the development ...

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

INBRAIN Neuroelectronics, a clinical-stage neurotechnology company developing precision brain-computer interfaces (BCIs) powered by graphene, announced today it has been awarded a €4 million ...

Showcase your company news with guaranteed exposure both in print and online The Future of Bay Area Biotech: Searching For Answers The Small Business Leaders awards program honors the dedicated ...

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