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Why has machine learning become so vital in cybersecurity? This article answers that and explores several challenges that are inherent when applying machine learning. Machine learning (ML) is a ...

Eman Maali (Imperial College London), Omar Alrawi (Georgia Institute of Technology), Julie McCann (Imperial College London) PAPER Evaluating Machine Learning-Based IoT Device Identification Models for ...

As the volume of cyberattacks grows, security analysts have become overwhelmed. To address this issue, developers are showing more interest in using Machine Learning (ML) to automate threat-hunting.

Microsoft and Mitre Corp. last week outlined their collaborative efforts to shore up the security of machine learning models and artificial intelligence (AI) platforms. MITRE is a nonprofit ...

Tell me if you’ve heard this: there is a new, advanced network intrusion device that uses modern super-smart Machine Learning (ML) to root out known and unknown intrusions. The IDS device is so smart ...

New considerations are necessary as more businesses adopt machine learning at scale. In association withCapital One Nearly 75% of the world’s largest companies have already integrated AI and machine ...

A new report out today from software supply chain company JFrog Ltd. reveals a surge in security vulnerabilities in machine learning platforms, highlighting the relative immaturity of the field ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

Bottom Line: AI and machine learning are reducing construction site accidents, theft, vandalism and hazardous operating conditions by analyzing 24/7 video feeds in real-time, gaining new predictive ...