The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...

Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of "model proteins," according to a new Perspective by Connecticut College ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...