Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing (CVDP-DB) ...

OpenAI revoked its macOS signing certificate after a malicious Axios dependency incident on March 31, 2026, preventing ...

EM, biochemical, and cell-based assays to examine how Gβγ interacts with and potentiates PLCβ3. The authors present evidence for multiple Gβγ interaction surfaces and argue that Gβγ primarily enhances ...

Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...

The grandson of the inventor of the Reese’s Peanut Butter Cups, who has publicly criticized The Hershey Company for tinkering with the classic formula in its spinoff products, appears to have gotten ...

Abstract: Image quality assessment (IQA) is imperative in the evaluation of computational imaging algorithms, especially those based on artificial intelligence (AI). Such assessment often relies on ...