Abstract: In this study, we investigate the performance of low-dimensional identity vectors, called I-vectors, in automatically identifying frog species on the basis of their bio-acoustics. I-vector ...

In the past decade, adenovirus vectors have generated tremendous interest, especially in gene therapy applications. In the so-called ‘first generation’ adenovirus vectors, the transgenes are inserted ...

Most organizations are unaware of how vulnerable their cloud systems have become. Gaps in preparation could cause serious problems as generative and agentic AI create new attack points. Drawing on key ...

Genetic vectors are vehicles for delivering foreign DNA into recipient cells. Vectors can replicate autonomously and typically include features to facilitate the manipulation of DNA as well as a ...

Lentiviral vectors (LVVs) have proven to be extremely versatile genetic delivery vehicles, gaining space as a gene transfer technology tool used both for cell and gene therapies. They are utilised for ...

Vaccine shedding is when someone sheds weakened pathogens, usually in their poop, from a recent, live-attenuated vaccine. Shedding rarely spreads or causes illness in other people. Vaccines are vital ...

Abstract: Subspace learning is a popular machine learning method that has been frequently applied for gas sensor calibration; however, there are the following limitations in the latent subspace ...

🎉The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" [paper](CVPR24) in PyTorch. If you use any content of this repo for your work, please ...

This library provides utilies for training and applying steering vectors to language models (LMs) from Huggingface, like GPT, LLaMa, Gemma, Mistral, Pythia, and many more! This library is inspired by ...