Why Is ML-Driven Anomaly Detection Important for Preventing Malicious Signature Requests?

Know why ML-driven anomaly detection is crucial for preventing malicious signature requests. Learn how machine learning ...
Statetechmagazine

State and Local Agencies Can Identify Cyberthreats Through Anomaly Detection

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
insideHPC

Anomaly Detection: Its Real-Life Uses and the Latest Advances

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...
TMCnet

ARTERY Announces AT32 Edge AI Sensor EV Board for Multi-Sensor Gesture, Motion, and Anomaly Detection

Leveraging the high performance, low-power design, and rich peripherals of AT32 MCUs—combined with the Edge Impulse platform— ...
Crowdfund Insider

Haiqu: Quantum Computers Better at Anomaly Detection

Haiqu, a quantum software company, said it has demonstrated that today’s quantum computers could detect anomalies more ...
Psychology Today

Anomaly Detection: The Art of Noticing the Unexpected

Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...
SETI

Lunar Anomaly Detection: How AI is Transforming Moon Exploration

Artificial intelligence is transforming the way we explore the Moon. In a recent SETI Live, authors Adam Lesnikowski and Daniel Angerhausen, hosted by Franck Marchis, a Senior Planetary Astronomer at ...