Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Abstract: Electroencephalography (EEG)-based brain computer interfaces (BCIs) transform spontaneous/evoked neural activity into control commands for external communication. While convolutional neural ...
Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from ...
To explain how a convolutional neural network (CNN) processes an image, it is common to generate classification activation maps (CAMs) to reveal image areas that are relevant to output. Nevertheless, ...
ABSTRACT: AI techniques are proving unbeatable in the fight for supremacy in methods of evaluation, optimization, control, object recognition, sensor monitoring, image interpretation, machine learning ...
In this series of articles, I am looking at how to monitor my home/home lab LAN. In my first article, I probed my network to see what devices were on it and where they were located. In my next article ...
Last Monday marked the beginning of Love Data Week, hosted by the Connolly Alexander Institute for Data Science in conjunction with the Tulane University Libraries. Love Data Week featured lectures, ...
1 School of Artificial Intelligence, Hebei University of Technology, Tianjin, China 2 Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental ...
Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Nuclear Reactor Engineering and Safety of Ministry of ...