Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

Journalists have uncovered a handful of preprint academic studies with hidden prompts instructing A.I. reviewers to give ...

We appreciate the opportunity to address the comments by Yangfan Cheng and colleagues, and Sebastian Walsh and colleagues regarding our Article on long-term gantenerumab treatment in dominantly ...

We read with great interest the Article by Randall J Bateman and colleagues investigating long-term gantenerumab treatment in dominantly inherited Alzheimer's disease.1 This important work provides ...

We present a general learning framework which combine a deep convolutional GANs network with a variational autoencoder network. To begin with, we found a solution which could solve the problem that ...

With the development of artificial intelligence technology, data has become an important resource with much attention being attracted. However, in the process of data collection, transmission and ...

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...

A Dynamic Benchmark for Image Understanding We have created a procedurally generatable, synthetic dataset for testing spatial reasoning, visual prompting, object recognition and detection.

Tool aims to solve the mystery of non-coding sequences — but is still in its infancy.