That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...

Abstract: Complex-valued neural network is a kind of learning model which can deal with problems in complex domain. Fully complex extreme learning machine (CELM) is a much faster training algorithm ...

Abstract: Deep Neural Networks (DNNs) have recently shown state-of-the-art results on various applications, such as computer vision and recognition tasks. DNN inference engines can be implemented in ...