At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...
Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...
From solving puzzles to masterfully playing a game of chess, current artificial intelligence tools have employed algorithms ...
In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...
First hybrid memory technology to support adaptive local training and inference of artificial neural networks unveiled.
Project demonstrated that it is possible to perform on-chip training with competitive accuracy, sidestepping the need for off ...
Using brain organoids, scientists discover how neurons might misfire due to schizophrenia and bipolar disorder.
In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...
A single structure built in the metal layers of an IC can implement both machine learning and analogue AI inferencing, according to a French team led by Grenoble lab CEA-Leti – and the CMOS below can ...