Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

Decoding politico-bureaucracy is the first step toward filling that void responsibly. A political leadership that cannot decode the bureaucracy cannot deliver governance. A bureaucracy that refuses ...

Technological civilization stands before an existential paradox. While the demand for artificial intelligence (AI) grows ...

CEO Jeff Hirsch sees Starz joining the M&A fray with "marooned" linear networks that big owners might not value but could be repositioned for digital.

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

A deep spatial proteomic analysis of healthy fallopian tube epithelium, matching high-grade serous ovarian cancer (HGSOC) ...

Background Eosinophilic oesophagitis (EoE) is a chronic allergic disease characterised by oesophageal epithelial remodelling, barrier dysfunction and inflammation. The transcription factor forkhead ...

This equation is in the standard form of a linear equation: A x + B y = C, where A, B, and C are constants. The variable x is raised to the power of 1. The variable y is raised to the power of 1. The ...

Set up a fully automated protein bar unit with an Automatic Protein Bar Making Line, engineered for clean and efficient ...

Signals arising in the natural world are highly structured. To an observer with knowledge of these structures, the signals are redundant, because one spatial or temporal portion of a given signal may ...