For Android app developers relying on AI to code, picking the right model can be tricky. Not all models are built the same, and many are not specifically trained for Android development workflows. To ...

New data from 700 companies shows AI coding tools nearly double developer output with little quality drop.

Researchers are racing to develop more challenging, interpretable, and fair assessments of AI models that reflect real-world use cases. The stakes are high. Benchmarks are often reduced to leaderboard ...

SAN FRANCISCO (Reuters) - Artificial intelligence group MLCommons unveiled two new benchmarks that it said can help determine how quickly top-of-the-line hardware and software can run AI applications.

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...

In traditional software, a unit test passes, or it fails. Binary. Simple. If input equals two plus two, output equals four. If it returns five, you block the deploy. Generative AI is probabilistic. It ...

Are AI benchmarks really the gold standard we’ve been led to believe? Matt Wolfe walks through how these widely accepted metrics, designed to measure the performance of artificial intelligence systems ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. What looks like intelligence in AI models may just be memorization. A closer look at benchmarks ...

For years, code-editing tools like Cursor, Windsurf, and GitHub’s Copilot have been the standard for AI-powered software development. But as agentic AI grows more powerful and vibe coding takes off, a ...

One of the best bug-hunters in the world is an AI tool called Xbow, just one of many signs of the coming age of cybersecurity automation. The latest artificial intelligence models are not only ...