Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

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

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

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

Instead of building yet another LLM, Lecun is focused on something he sees as more broadly applicable. He wants AI to learn ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

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, ...

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 development of deep learning has motivated the advancement of unconventional computing that leverages analog physical ...