Learning science models provide valuable insights, but in their most basic form, they fail to accomplish the goals that L&D ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Learning nurtures our natural drive for progress and self-actualization. Small, daily learning habits can build long-term ...

Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Modern behavioral data science approaches treat every user interaction as a signal. Micro-interactions like hover time, pause ...

Researchers at King Abdullah University of Science and Technology (KAUST; Saudi Arabia) have announced the development of a new deep learning tool, deepBlastoid, to study models of human embryo ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

By consolidating the disparate timescales of learning into a unified model, the research offers a new perspective on human learning and a framework for exploring the theoretical benefits and ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such ...

Scientists use models to represent their imagination and conceptualization of a particular phenomenon. They then use models to develop an argument to debate, defend, and debunk ideas in their peer ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.