A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
WASHINGTON, DC, UNITED STATES, January 14, 2026 /EINPresswire.com/ -- Digitech Services Inc., a Tier 2 BiC-1 Joint ...
AiOpti Recognized for Deterministic Measurement Linking Media Exposure to Real-World Outcomes The real reward is seeing ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...
ABSTRACT: This paper discussed the possibility of utilizing a sentiment analysis of online discussions on X platform (which was previously X) as a predictor of cyber defacement attacks. It bridged a ...
CloudMesh is a UW SE capstone project that aims to create a decentralized, P2P approach to distributed machine learning training.
Abstract: We propose to apply optical circuit switching to enable dynamic AllReduce reconfiguration for accelerating distributed machine learning. With simulated annealing-based optimization, the ...
ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
MLCommons selected four Georgia Tech students to participate in its 2025 Rising Stars cohort. A two-day Rising Stars workshop was held at Meta’s headquarters in May, where the participants showcased ...
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