Abstract: Domain fluxing, a technique employed by attackers to evade conventional Command and Control detection, presents a significant challenge for cybersecurity. This technique leverages Domain ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

Abstract: In this paper, we introduce a framework for multi-class novelty detection using structural vibration signals. Structural vibration-based person identification is a promising soft-biometric ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

Carla is a writer from Peñuelas, Puerto Rico, now based in Atlanta. She’s an Emory alum with both a BA and MA in English, but more importantly, she’s a Pisces with lots of opinions about video games.

Introduction: Metabolic dysfunction-associated steatohepatitis (MASH) is a significant liver disease that can lead to cirrhosis and liver cancer. Accurate assessment of liver fibrosis is crucial for ...