Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

Abstract: Accurate change detection in multi-temporal remote sensing imagery is critical for applications such as urban development monitoring, disaster response, and environmental surveillance.

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Abstract: In brain–computer interface (BCI) applications, imagined speech (IMS) decoding based on electroencephalogram (EEG) has established a new neuro-paradigm that offers an intuitive communication ...

The first artificial intelligence (AI) stethoscope has gone beyond listening to a heartbeat. Researchers at Imperial College London and Imperial College Healthcare NHS Trust discovered that an AI ...

The first artificial intelligence (AI) stethoscope has gone beyond listening to a heartbeat. Researchers at Imperial College London and Imperial College Healthcare NHS Trust discovered that an AI ...

Ethereum has become the latest front for software supply chain attacks. Researchers at ReversingLabs earlier this week uncovered two malicious NPM packages that used Ethereum smart contracts to ...

1Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland. 2The Ludwig Center for Cancer Genetics and Therapeutics, Baltimore, Maryland. 3The Sol ...

When using TensorRT-LLM's fused multi-head attention (FMHA) with a custom mask, I encountered a result alignment issue compared to PyTorch's eager mode attention. The mask is a 1024x1024 matrix with ...

Cybersecurity researchers have discovered two new malicious packages on the npm registry that make use of smart contracts for the Ethereum blockchain to carry out malicious actions on compromised ...