Graph neural networks could benefit greatly from specialized hardware. Memristors, especially those made from robust and epitaxial films, can make these networks more efficient and better at handling graph-structured data. These memristors are made from materials like gadolinium-doped hafnium oxide
Traffic forecasting on freeways has long relied on deep learning models, especially graph neural networks that blend graph theory with deep learning. These models are great at learning complex time and space patterns. However, traditional graph convolutional networks (GCNs) sometimes struggle with l
Imagine having the ability to identify sports activities just by using basic motion data. This is exactly what a new method called Human Activity Recognition (HAR) does. By using sensors and special learning algorithms, HAR can tell the difference between various sports activities with impressive ac
Imagine trying to pick out a single guitar riff from a busy rock song. That's similar to what scientists are doing with muscle signals, known as surface electromyography (sEMG). They're aiming to spot tiny muscle units, called motor units (MUs), in real time. A recent study took a clever approach us
The ability for machines to understand human actions is super important. It's used in many places, like surveillance systems, human-robot teamwork, sports analysis, and entertainment. But, detecting humans and figuring out what they're doing isn't easy. Humans move and look so differently that it's
In the ventral intraparietal area (VIP) of the brain, neurons fire in complex patterns that change over space and time. This makes it tough to figure out where an animal is headed just from these neural signals. Collecting enough data to decode this information is tricky, so scientists need a smart
Ever thought about how machines can figure out what we're doing just by watching? That's what Human Activity Recognition (HAR) is all about! These systems are like super-smart detectives, keeping an eye on us in our homes and even in the world of entertainment. In a recent study, scientists combined
Depression messes with your brain’s communication highways, or networks. Scientists have found three main networks that go haywire during depression: the default mode network (DMN), central executive network (CEN), and salience network (SN). These networks help us think, feel, and pay attention. Wh
Have you ever wondered how to make sense of the crazy ups and downs of cryptocurrencies? Well, researchers have come up with a clever idea: using smart computers, known as stochastic neural networks, to predict prices. Traditional trading methods just look at averages, but they can't handle the wild
Ever wondered how to solve those tricky high-dimensional Poisson equations? Neural Walk-on-Spheres (NWoS) is a cool new way to do it! This method uses a unique blend of stochastic representations and Walk-on-Spheres methods. Instead of relying on spatial gradients, NWoS focuses on solving Poisson eq
