Hackers set to weaponize harmless legit PDFs using new tools, with experts saying that combining it with SpamGPT could be a huge game-changer

MatrixPDF turns safe-looking PDFs into malware carriers, exploiting user trust and bypassing filters, with experts warning ...
GitHub

uqlm: Uncertainty Quantification for Language Models

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 ...
IEEE

A Comprehensive Face Parsing Framework for Anxiety Detection using Deep Learning

Abstract: The increasing number of adolescents suffering from anxiety highlights the need for Anxiety Detection systems. Although there are some conventional systems based on face modality, there is a ...
IEEE

Vibration Visualization: High-Quality Vehicle Detection With DVS Data Using Deep Learning Network

Abstract: Perception of vehicle operating status plays a crucial role in improving traffic flow efficiency and safety. However, due to the influence of complex environmental factors and traffic ...
Frontiers

Characterizing clinical risk profiles of major complications in type 2 diabetes mellitus using deep learning algorithms

Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral ...
Harvard Business Review

The Case for Using Small Language Models

Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is ...