Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

AI is rapidly reshaping the landscape of surgical oncology. However, its true potential lies not in isolated tools, but rather ...

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

Operating over 20 premium centers across New York, Long Island, and Philadelphia, Satori Laser views its 17 years of focus as ...

Researchers at the Department of Energy's SLAC National Accelerator Laboratory and collaborating institutions recently built a generative AI model that can recreate molecular structures from the ...

OpenAI’s GPT-5.4 mini and nano models cut costs and latency while staying close to flagship performance, giving developers faster AI options for real-time apps without sacrificing core capabilities.

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because ...