On October 27, 2021, pursuant to the Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device Action Plan (Action Plan), the US Food and Drug Administration (FDA) released ...
Machine Learning has been an ongoing focus of FDA activity for some time. The first Industry Discussion Paper on the topic was launched back in 2019, followed by an Action Plan in 2021 aimed at ...
Anurag Agrawal is a Senior Tech Lead at Google LLC. With over 12 years of experience, he's an expert in Cybersecurity and Abuse prevention. As someone who's been following the intersection of ...
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 ...
Malware continues to be one of the most effective attack vectors in use today, and it is often combatted with machine learning-powered security tools for intrusion detection and prevention systems.
Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Given the complexity, sensitivity and scale of the typical enterprise’s ...
The cybersecurity industry is in a turbulent period. As artificial intelligence (AI) becomes increasingly powerful, the threat landscape has been entirely transformed, as hackers, bristling with AI ...
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