Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

Neural networks are the algorithmic foundation of AI. A few days ago, I read an article on the American popular science website Quanta Magazine, which used a simple example and illustrations to ...

The review explains that 3D bioprinting provides solutions by allowing precise placement of cells, biomaterials, and bioactive molecules. Extrusion-based printing accommodates a wide range of ...

A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...

Sandia National Laboratories cybersecurity expert Adrian Chavez, left, and computer scientist Logan Blakely work to integrate ...

Using these scanners, neuroscientists can create unique “neural fingerprints” of an individual’s brain. Researchers contrast the difference between traditional brain scanners and OPM-MEG devices as ...

Artificial intelligence is now better than humans at identifying many patterns, but evolutionary relationships have always ...