Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a new deep learning method that improves the classification accuracy of mixed ...

It’s something that can happen to all of us, that we forget things. Young and old, we know things are on our to-do list but in the heat of the moment they disappear from our minds and we miss them.

Speech synthesis using neural networks has revolutionised the generation of naturalistic and intelligible speech from text. Contemporary systems integrate advanced deep learning architectures that ...

Memristors have been — so far — mostly a solution looking for a problem. However, researchers at the University of Michigan are claiming the first memristor-based programmable computer that has the ...

Summary: Researchers found that everyday speech timing — including pauses, fillers, and subtle patterns — strongly reflects executive function, a key cognitive system that supports memory and flexible ...

Two new studies published in the journals Neuron00792-5) and Naturereveal how the human brain transforms a continuous stream ...

Speaking represents one of our most complex motor behaviors, one that is vital to our ability to communicate. To understand how speech is produced, one ...

SAM NUNN (D), FORMER U.S. SENATOR: I think anyone who criticizes that speech must have a measurement of perfection because I thought it was a very fine speech. I thought he did everything that could ...

Synaptic plasticity, such as long-term potentiation (LTP) and long-term depression (LTD), must be tightly regulated to prevent saturation, which would impair learning. Metaplasticity mechanisms have ...