By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Late Thursday, Mr. Musk’s chatbot, Grok, limited requests for A.I.-generated images on X to paid subscribers of the social ...

Abstract: In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at various ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

Abstract: Recent years have witnessed many remarkable achievements in infrared small-target (IST) detection based on deep learning (DL). To achieve high performance in real-world applications, DL ...