This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...

To address growing demands for efficient AI computing, scientists in China developed a reconfigurable integrated photonic ...

In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

Forget big data sets and giant models; a new machine learning architecture aces logic puzzles on minuscule training and resources, threatening to change machine intelligence forever, finds Satyen K.

Wastewater treatment is energy-intensive, with aeration and pumping among the largest cost drivers. The review details how AI ...

A new landmark BCI study led by Stanford Medicine neuroscientists demonstrates a brain-computer interface capable of decoding ...

In 2025, the integration of AI and Python will become increasingly tight. OpenAI's free inference model, o3 - mini, has excelled in areas such as mathematical code generation and physical simulation.

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Researchers have developed an AI-powered tool called chronODE that models how genes turn on and off during brain development.

Diversity of compute elements proliferates for inference, but the mix varies by application. With AI changing so fast, it’s a ...