Abstract: Generator-based adversarial attack methods aim to fool deep neural networks (DNNs) by training a generator for crafting adversarial examples (AEs). However, as DNNs evolve from Convolutional ...

Specificity in drafting allows contracting parties to allocate risk with precision and enable efficient dispute resolution. Unclear contractual language can foster disputes and litigation. In addition ...

As UHD, HDR, live sports streaming, immersive audio and even 8K experimentation move into the mainstream, encoding has become a core business strategy. Broadcasters and streaming providers must ...

Naturally evolved T-cell receptors (TCRs) achieve extraordinary antigen specificity through a flexible binding interface that forms force-stabilized catch bonds with cognate peptide-MHC (pMHC) ...

Substrate specificity is a defining feature of enzyme function, but its molecular underpinnings remain difficult to decode and engineer. Here, we leverage enzyme proximity sequencing (EP-Seq) to ...

Abstract: Existing fMRI-to-image reconstruction methods have made progress in decoding visual images from fMRI but continue to struggle with capturing finer details like shape and color. Inspired by ...

Over the past few years, several machine learning tools have been developed to predict enzyme substrate specificity, but they met with limited success and mainly concentrated on developing ...

On my pgbadger installation I see regression between pgbadger 11.2 and 13.1. In "Most Frequent Errors/Events" section for "ERROR: invalid byte sequence for encoding" in 11.2 I have examples, but in 13 ...

The encoding specificity principle (Tulving & Thomson, 1973) states that for a retrieval cue to be useful, it should be present at the encoding stage. The encoding stage is the initial stage of the ...

Senior iOS Engineer with over 12 years of experience developing scalable, user-focused apps using Swift, SwiftUI, UIKit, and more. Senior iOS Engineer with over 12 years of experience developing ...