Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

If large-scale datasets of experimental data can be built through this approach, it is expected to enable researchers to gain ...

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...

A new Special Report published in the journal BioScience warns that long-term ecological and evolutionary research faces ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

The Johns Hopkins University Data Science and AI Institute welcomes applications for its Postdoctoral Fellowship program, seeking disciplinarily diverse scholars to advance foundational methods of ...

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...

As artificial intelligence adoption accelerates across campuses, higher education leaders must balance innovation with data ...

For a Summer Undergraduate Research Fellowship project, Carnegie Mellon University sophomore Jasmine Li worked with robotic arms in the Robotic Caregiving and Human Interaction Lab to analyze the ...

Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...