A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

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

A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

Deepfakes of Venezuela’s ousted president, Nicolás Maduro, flooded the internet after his capture, in a new collision of ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

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Elon Musk’s chatbot Grok keeps churning out nonconsenual images of women and minors in bikinis and lingerie, outraging users ...