Previously unmapped sections of the genome explain how cells sense their mechanical environment and could open new paths for ...

Scientists from James Cook University have developed a new computer tool that reveals layers of gene activity that were ...

This work presents an object placement and lookup method that achieves full placement flexibility, balanced load, low ...

A scaling law relates the expected number of mutants to the total population size of cells in a spatially constrained but ...

Start with the basics: visibility, segmentation, and access control. Identify what matters most and make it harder to reach.

Discover the key insights and breakthroughs from Samsung AI Forum 2025, including agentic AI, LLM reasoning, and generative AI safety.

According to Karpathy, this new kind of coding is “where you fully give in to the vibes, embrace exponentials, and forget that the code even exists." In his words, "It's not really coding – I just see ...

Geedge Networks, a company with ties to the founder of China’s mass censorship infrastructure, is selling its censorship and ...

Abstract: Thanks to the development of deep learning, machine abnormal sound detection (MASD) based on unsupervised learning has exhibited excellent performance. However, in the task of unsupervised ...

Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...

This is a PyTorch implementation of the GraphATA algorithm, which tries to address the multi-source domain adaptation problem without accessing the labelled source graph. Unlike previous multi-source ...