Abstract: Recently, there has been a proliferation of applied machine learning (ML) research, including the use of convolutional neural networks (CNNs) for direction of arrival (DoA) estimation. With ...
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 ...
While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...
Bell Labs is already highly recognized, but in its centennial year, the organization hoped to add more awards to burnish its ...
New research suggests that the human appreciation for beauty may be rooted in biological frugality. A study published in PNAS Nexus indicates that images requiring less energy for the brain to process ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.
Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from high noise, impacting image quality and diagnostic accuracy. Supervised learning has helped address this challenge but ...