Fibr.ai believes AI agents can automate testing and personalization at a scale traditional CRO platforms can’t match, turning ...

Why Are Non-Human Identities Crucial for Cybersecurity? Have you ever considered the significance of machine identities in your cybersecurity strategy? With cybersecurity becomes a more pressing ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than ...

To get a better understanding of how the U.S. military is actually employing AI tools in warfare now, I talked with Emelia Probasco, a senior Fellow at Georgetown’s Center for Security and Emerging ...

How Prepared Are AI Systems Against Emerging Cyber Threats? Can Artificial Intelligence (AI) really keep up with evolving cyber threats? With technology evolves at an unprecedented pace, so do the ...

IBM stock analysis: why its mainframes and enterprise software are insulated from AI disruption, with strong FCF and growth ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

As entry-level tasks are automated, the focus of training will shift to judgment, simulation, and continuous upskilling.

AI data centers are increasingly unpopular amid backlash over air, noise, and water pollution. But tech companies like Google and Microsoft are working overtime to promote their products as a solution ...

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.