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 ...

Artificial intelligence has traditionally advanced through automatic accuracy tests in tasks meant to approximate human knowledge. Carefully crafted benchmark tests such as The General Language ...

AI agents are becoming a promising new research direction with potential applications in the real world. These agents use foundation models such as large language models (LLMs) and vision language ...

Snapdragon X2 Elite Extreme posts 4,000+ Geekbench single-core and massive multi-core wins. GPU and NPU leaps: nearly 2x GPU and an 80 TOPS NPU for stronger graphics and AI. Exciting leap, but ...

Many of the most popular benchmarks for AI models are outdated or poorly designed. Every time a new AI model is released, it’s typically touted as acing its performance against a series of benchmarks.

They could offer a more nuanced way to measure AI’s bias and its understanding of the world. New AI benchmarks could help developers reduce bias in AI models, potentially making them fairer and less ...

AI companies regularly tout their models' performance on benchmark tests as a sign of technological and intellectual superiority. But those results, widely used in marketing, may not be meaningful.… A ...