AI may be able to predict a person’s risk of developing over a hundred serious medical conditions from data collected over ...

Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution than ever before.

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

Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Columbia Engineers have created a robot capable of mimicking and learning human lip movements during speech. The upgraded design combines advanced robotics with AI, enabling the device—named Emo—to ...

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 ...

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...