Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...
Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Abstract: The increasing reliance on GPS systems in Unmanned Aerial Vehicles (UAVs) has made the need for an efficient and robust system to detect, mitigate, and prevent potential disruption during ...
In this work, we identify two key observations about spatiotemporal redundancy in videos: Temporal redundancy is not bound to fixed spatial locations. Semantically consistent elements in videos often ...
Abstract: Employee attrition poses considerable challenges for organizations by affecting productivity and increasing recruitment costs. This study employs tree-based machine learning classifiers to ...
One brief encounter with an image has been shown to leave a lasting mark in a specific part of the brain’s visual system, sharpening recognition long after the moment passes. The finding recasts ...
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