The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative ...

Researchers have developed a technique that significantly improves the performance of large language models without ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

To realize business value from generative AI, start small, iterate fast and scale smart—while ensuring strong data, team ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning. Recently, there has been a rising trend of ...

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

We develop a random forest (RF) model for rapid earthquake location with an aim to assist earthquake early warning (EEW) systems in fast decision making. This system exploits P-wave arrival times at ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois ...