Bigger AI isn’t always better. Here's why smaller, task-specific models deliver faster performance, lower costs and better ...

Abstract: Bioluminescence tomography (BLT) is an important branch of molecular imaging, holds great prospect in biomedical research. However, BLT reconstruction results are often sensitive and ...

Religious scholars and technologists are asking whether artificial intelligence can reflect the values that shape human life.

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...

Abstract: Deepfake detection remains a pressing challenge due to the rapid evolution of forgery techniques and the demand for robust, generalizable, and interpretable solutions. We present a sparse ...

One of the central problems in neuroscience is the characterization and understanding of the neural code. In 1968 Perkel and Bullock defined four key functions for a candidate neural code: stimulus ...

Men and partners are important contributors to the health of future generations, yet their own preconception health and ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

This repository contains the official implementation of HSISCN (Hyperspectral Image Sparse Coding Network), a deep learning framework designed for hyperspectral image reconstruction from RGB. HSISCN ...

As the trailblazing Swedish star returns with her first album since 2018, she talks through going on IVF and solo parenting, expressing sexuality, and the negotiation of being a self-aware pop star.

As the trailblazing Swedish star returns with her first album since 2018, she talks through going on IVF and solo parenting, ...