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 ...

In the quantum world, the notion is that the present moment is influenced by the past, but it’s also influenced by the future ...

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 ...

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

Abstract: We propose a sparsity-promoting feedback control design for stochastic linear systems with multiplicative noise. The objective is to identify an optimal sparse control architecture and ...

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

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 ...