AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...

For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory rather than the cells and circuits that go wrong. Now a new wave of brain ...