When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Most faculty members have a go-to activity that can be deployed at a moment’s notice in the classroom. It might be a quick, five-minute writing task or a more-ambitious, small-group exercise. When ...

Matthew Luskey, assistant director of the University of Minnesota’s writing across the curriculum program, wants undergraduates in his classes to talk with each other when they first encounter an ...

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...

Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...

Sequencing costs have fallen so dramatically that a single laboratory can now afford to sequence even large genomes. Genome annotation pipelines synthesize alignment-based evidence with ab initio gene ...