The brain's ability to track orientation and position is essential for memory, navigation, and decision-making. Traditionally ...

Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

Scientists in Peru have proposed a self-contained, deployable system that quantifies energy losses from dust accumulation on ...

Uncover the latest innovation in food safety: the electronic tongue. Find out how this technology combines atom-thin sensors ...

Participant says controlling the virtual drone felt like playing a musical instrument, evoking activity and socialization.

Neural Networks are supervised learning techniques. ANNs are applications of feed forward networks and neural systems. The basic structure of ANN is The number of nodes in the input layer is ...

The brain–computer interface allowed the participant to control the drone with six times the accuracy of EEG-based systems.

Researchers developed a brain-computer interface allowing a paralyzed individual to control a virtual quadcopter by thinking ...

Learn how a brain-computer interface allowed a paralyzed patient to guide a quadcopter through a virtual course by thinking ...

According to the team’s results, the BrainGate array wired directly to motor neurons offered a “sixfold improvement” on the ...

This new framework from the Open Source Alliance aims to finally set the standard for open-source AI models. Will it?