A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
Since its theoretical concept in the 1950s, artificial intelligence (AI) paved the way for businesses to experience enhanced opportunities and productivity through various techniques, especially ...
An analysis of NeurIPS 2025 papers by startup GPTZero reveals how AI-generated citations are slipping into elite academic ...
Quantum Transportation Ltd. - a minority-owned subsidiary of Quantum X Labs Ltd., the Israeli quantum tech group Viewbix is in the process of acquiring - has successfully completed Milestone 1 in its ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...
Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Abstract: Malware poses a significant threat to network and information system security, particularly in industrial Internet of Things (IIoT) environments, where embedded systems and edge devices ...
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