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Browsing: Engineering
AI should not be treated as a set of electives bolted onto an existing degree, but as a foundational capability that reshapes the engineering curriculum itself the three strategies an institution can adopt toward that end: a dedicated AI programme, an interdisciplinary layer on any discipline, and the infusion of AI into existing courses. Of…
Most security teams train employees for phishing, malware and now with the advent of AI, wire transfer scams. Those reported have looked something like a cloned executive voice on a call, an urgent payment email request, and a well-intentioned finance employee who approves it quickly. Those attacks still happen and still work, but as always,…
A purple virtual car rolled down a slope across a 36-foot curved screen as University of St. Thomas College of Engineering students watched through 3D glasses at the college’s new data visualization studio. The simulation brought to life an inertia car experiment the students had completed earlier in the semester for Professor Michael Hennessey’s 300-level…
InfoQ HomepagePodcastsFounders, Friction, and Focus: Building Engineering Teams at Early-Stage Startups
Culture & Methods Online InfoQ AI Security & Privacy Engineering Certification (Aug 26): Shipping AI in a regulated environment?
AUG. 11, 2026 Cameron BalahanGroup Product ManagerGo Richard SeroterChief EvangelistGoogle Cloud
While investors fixate on the AI boom, a warning from a group of Wall Street bankers whose job is to help the U.S. government borrow went unnoticed.
On August 7, 2026, Levi Strauss & Co. disclosed a cybersecurity incident in which hackers gained unauthorized access to certain corporate data by compromising three employee computers through a social engineering attack. The breach was contained shortly after discovery, with no disruption to business operations and no evidence of consumer data compromise. The company stated that…
“Done is better than perfect” is not a phrase students typically hear in a university classroom, but Introduction to Engineering Entrepreneurship is anything but a traditional course.
Security and engineering teams can no longer operate in silos as software delivery accelerates and adversaries move faster with AI, requiring shared context from production data so both sides can prioritize risk and respond without friction.