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 ...

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

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 ...

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

The Australian-developed machine, a biocomputer marketed for research purposes, uses living neural tissue integrated with ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Shares of Super Micro Computer Inc. fell almost 10% on Monday after the company announced a convertible note offering worth ...

Predictive processing is an influential framework in neuroscience that posits the brain as a prediction machine—constantly generating and updating internal ...