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

Overview:  Master R programming faster with real-world projects that build practical data science skillsFrom stock market ...

The move would allow civilian agencies to access a modified version of Anthropic’s powerful vulnerability‑hunting AI, under ...

I tried training a classifier, then found a better solution.

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...

Conclusions: We identified several ML-based models predicting clinical outcomes with good discriminatory ability in people with DFU. Due to the focus on development and internal validation of the ...

Shadow AI 2.0 isn’t a hypothetical future, it’s a predictable consequence of fast hardware, easy distribution, and developer ...

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: Preeclampsia affects approximately 1 in 10 pregnancies, leading to severe complications and long-term health ...

Abstract: Intelligent classification based on neural network models exhibits significant vulnerability when faced with adversarial example attacks. By adding only minute perturbations, these attacks ...

Abstract: Models based on CNNs and Transformers have advanced the joint classification of hyperspectral image (HSI) and LiDAR data, but both have limitations. CNNs struggle with long-range ...

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