University of Tokyo researchers have pioneered a novel approach using Bayesian neural networks to analyze gut bacteria data, ...

Precise destination prediction of taxi trajectories can benefit many intelligent location based services such as accurate ad for passengers. Traditional prediction approaches, which treat trajectories ...

A study, led by Dr. Wentao Huang, overcame a critical gap in five-phase permanent magnet synchronous motor (PMSM) diagnostics ...

A neuromorphic navigation system inspired by the brain enables robots to recognise places in real time while using 99 % less ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior informed by recent information ...

The TinyML Foundation’s work, along with that of Silicon Labs, helps users explore new use-cases and challenges that embedded ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Scientists have long known that the brain's visual system isn't fully hardwired from the start—it becomes refined by what ...

As we advance towards 6G communication systems, the number of network devices continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS), Cognitive Radio (CR) ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...