During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

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

Two microelectrode arrays in the “hand area” of the brain measure neural activity. A recurrent neural network (RNN) then converts the signals into probabilities for each character. These probabilities ...

A new study published in PNAS Nexus by researchers at Carnegie Mellon University (CMU) demonstrates how a noninvasive brain-computer interface (BCI) powered by artificial intelligence (AI) deep ...

The team proposed propose a novel entity-type-enriched cascaded neural network (E 2 CNN) that considers the overlap triple problem and entity-type information to construct a Chinese financial ...

The brain is powerful, and computers are powerful—why not harness their strength combined? Researchers at the University of Illinois (UIUC) have built a “living computer” using mouse brain cells in a ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Where have you seen that sculpture? Perhaps at an art fair, in one of hundreds of dizzying booths, or maybe featured in the glossy pages of a design magazine? The answer is neither, because none of ...