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 ...

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 ...

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 ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

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 ...