Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...
Introduction: In swine disease surveillance, obtaining labeled data for supervised learning models can be challenging because many farms lack standardized diagnostic routines and consistent health ...
Artificial intelligence can use smartwatch data to detect heart disease, a new study says. AI fed heart sensor data from an Apple Watch accurately detected heart problems like weakened pumping ability ...
The original version of this story appeared in Quanta Magazine. If there’s one law of physics that seems easy to grasp, it’s the second law of thermodynamics: Heat flows spontaneously from hotter ...
Abstract: Hyperspectral image anomaly detection faces the challenge of difficulty in annotating anomalous targets. Autoencoder(AE)-based methods are widely used due to their excellent image ...
Radware has created a zero-click indirect prompt injection technique that could bypass ChatGPT to trick OpenAI servers into leaking corporate data. For years threat actors have used social engineering ...
Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...
Most cloud intrusions involve no viruses, no trojans, just stolen credentials and patient adversaries who understand your compliance frameworks better than you might think. Cloud intrusions have ...
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