The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...