When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...

Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...

Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...

Environmental data-gathering technology has proliferated in recent years. But how do you derive meaningful insights from ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Massive endeavor including Hopkins researchers and students aims to understand the planet's most biodiverse habitats ...

Abstract: In recent years, deep learning-based approaches have been increasingly adopted for cardinality estimation to enhance the accuracy of query optimization. However, there are still some ...

The next generation of innovation will be defined by its ability to operate in real time. From autonomous vehicles navigating city streets to industrial systems predicting failures before they happen, ...

This view of NASA’s Ingenuity Mars Helicopter was generated using data collected by the Mastcam-Z instrument aboard the agency’s Perseverance Mars rover on Aug. 2, 2023, the 871st Martian day, or sol, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.