Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

The machine learning techniques and digital neural networks currently used to solve PDEs involve passing the equation through a network of computational nodes, each of which weights its output as it ...

With artificial intelligence and machine learning (AI/ML) processors and coprocessors roaring across the embedded edge product landscape, the quest continues for high-performance technology that can ...

Pancreatic neuroendocrine neoplasms (PNENs) are a rare form of cancer that affects hormone-producing cells in the pancreas.

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Sony and AMD confirm new technology that could be used in the next-gen PS6, including new high-performance & high-efficiency ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...