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NYPD”s Machine-Learning Software Spots Crime Patterns

The NYPD developed Paternizer software uses a machine learning (ML) based approach to recognize patterns in large databases of activity reports. The techniques developed and lessons learned could prove useful for similar counter-terrorism and military activities. Pattern-recognizing algorithms are helping the New York City Police Department sort through crime data to find relationships among three

Brain-Inspired Neuromorphic Cybersecurity System Detects ”Bad Apples” 100X Faster

Cybersecurity is critical—for national security, corporations and private individuals. Sophisticated cybersecurity systems excel at finding “bad apples” in computer networks, but they lack the computing power to identify the threats directly. Instead, they look for general indicators of an attack; call them “apples.” Or the system flags very specific patterns, such as “bad Granny Smith