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If you think artificial intelligence is some overnight magic trick pulled off by a few hoodie-wearing coders, think again. The story of AI and neural

AI is becoming more powerful, but one thing is clear—general-purpose models aren’t enough for every business. While companies today rely heavily on third-party AI models

AI certification is a puzzle. Regulations are evolving, but they aren’t always clear, and companies developing AI systems often find themselves navigating compliance frameworks built

AI is evolving fast, but AI testing is still trying to catch up. While companies are working on safety, fairness, and compliance, these processes are

AI might be the latest technological frontier, but the challenges surrounding its regulation are nothing new. History has shown that whenever a groundbreaking technology emerges,

Traditional software follows a predictable life cycle: build, test, deploy, and maintain. Once it’s out in the world, updates and bug fixes happen, but the

AI is making decisions that impact lives—approving loans, diagnosing diseases, powering self-driving cars—but there’s one big problem: most people have no idea how it reaches

Trust isn’t just a nice-to-have in AI—it’s the foundation that determines whether people will actually use it. The most advanced AI system in the world

AI is advancing at an unstoppable pace. Regulation? Not so much. While AI systems are diagnosing diseases, controlling vehicles, and even making financial decisions, the

AI is running more of the world than most people realize. It’s helping doctors diagnose diseases, controlling cars on highways, and making high-stakes decisions in