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

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 ...

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

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

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 ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

Once a pioneer that helped the world lay the foundations of machine learning, Japan’s renewed push into artificial ...

Overview: Artificial intelligence is rapidly transforming India’s job landscape, making AI skills increasingly valuable ...

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) ...

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, ...

Researchers in the Department of Theoretical Physics at Tata Institute of Fundamental Research (TIFR), Mumbai, have ...