Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platforms.
The rapid growth of social media has resulted in an explosion of online news content, leading to a significant increase in the spread of misleading or false information. While machine learning ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant.
textpdmp_project/ │ ├── data/ │ ├── raw/ # Raw synthetic sensor data (e.g., synthetic_sensor_data.csv) │ └── processed/ # Processed data (e.g ...
Mosyle, a leader in Apple device management and security, has exclusively revealed to 9to5Mac details on a new Mac malware strain, dubbed “JSCoreRunner”. The zero-day threat evaded all detections on ...
What happens when multiple AI agents work together to solve complex problems? In this video, we dive into multi-agent systems in deep learning—how they work, why they matter, and how tools like ...
Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
Microsoft Unveils Project Ire: Autonomous AI System Achieves 90% Accuracy in Large-Scale Malware Detection and Software Classification The company stated that Project Ire automates the complete ...
Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...
Introduction: Thyroid nodule segmentation in ultrasound (US) images is a valuable yet challenging task, playing a critical role in diagnosing thyroid cancer. The difficulty arises from factors such as ...
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