A research team at Texas A&M University is studying the use of Siri-like virtual assistant technology for use in space. The ...

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In order to truly unlock the potential of boosting cybersecurity with anomaly detection, it’s important to put AI and ML algorithms at the heart of the system.

Anomaly detection is the process of finding and identifying point, contextual or collective anomalies that fall outside the bounds of defined policies. Detection itself is only the first step; further ...

MIT researchers are using time-series LLMs to create error detection mechanisms with cross industry use cases.

A real strength of machine learning is that it enables humans to predict and proactively address potential dangers instead of dealing with them when the damage has occurred. As we’ve seen, machine ...

“Anomaly detection is the holy grail of cyber detection where, if you do it right, you don’t need to know a priori the bad thing that you’re looking for,” Bruce Potter, CEO and founder of ...