A growing number of U.S. college instructors are turning to oral exams to help combat an AI crisis in higher education ...
A lot has been made about a post-quantum computer future in which traditional encryption methods have suddenly been rendered ...
Abstract: The optimization of convolutional neural networks (CNN) generally refers to the improvement of the inference process, making it as fast and precise as possible. While inference time is an ...
What is S-NISQ Quantum Error Correction? Learn how this scalable framework fixes noisy qubits for fault tolerance.
Abstract: The use of transfer learning in brain-computer interfaces (BCIs) has potential applications. As electroencephalogram (EEG) signals vary among different paradigms and subjects, existing EEG ...