In late 2025, a group of researchers that included Maria Emfietzoglou, MD, and Victor S.M.C. Correa, MD, published a paper titled, “Inner Plexiform Layer Substrata Are Discernible with Commercial OCT ...

Computational Modeling of Failure at the Fabric Weave Level in Reentry Parachute Energy Modulators Energy modulators (EM) are textile mechanical devices designed to dissipate snatch loads that occur ...

In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance.

The computing community has largely treated AI hallucinations as a model problem. The default path to reliability has been model improvement: better training data, larger context windows, retrieval ...

You will be redirected to our submission process. AI in protein science is advancing fast, from structure prediction and protein language models to function annotation, mutational effect prediction, ...