Tech Xplore

A new method to steer AI output uncovers vulnerabilities and potential improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Benchmark of 1.4 million checked protein structures could sharpen AI predictions

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
IEEE

Implicit Layer-Empowered Deep Learning Networks for 6G Adaptive Channel Estimation

Abstract: Research on sixth-generation (6G) wireless networks has gained significant attention as wireless communications technologies advance. In the upcoming 6G era, artificial intelligence (AI) is ...
IEEE

TASE-Net: A Novel Robust Deep-Learning Network for Open-Set Few-Shot UAV Recognition

Abstract: As uncrewed aerial vehicles (UAVs) are employed for many applications, UAV identification becomes critical to air traffic control nowadays. Conventional radio-frequency (RF) based UAV ...