Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM17141
Volume:
6 |
12 |
Dec 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This groundbreaking research explores the creation of deep neural networks for human-AI telepathy, enabling command execution through thought alone, without relying on external devices. This study presents a novel brain-to-AI interface system that allows for the direct and effortless control of artificial systems via thought. Utilizing sophisticated machine-learning methods, this approach deciphers neural signals and converts them into executable commands. Through comprehensive experiments and detailed analysis, this research showcases the system’s ability to accurately interpret intricate thought patterns and perform corresponding actions instantaneously. The results revealed notable improvements in speed, precision, and user experience over conventional brain-computer interfaces. This study paves the way for new possibilities in human-AI interaction and has significant implications in fields such as assistive technology, robotics, and immersive virtual environments.
KEYWORDS
Publication Date
12/28/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
29
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...