Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

Our conic convolutional networks outperform all the baseline methods and previous state-of-the-art vanishing point detection approaches, while naive CNN implementations might under-perform those ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool ...

Tim Keary is a technology writer and reporter covering AI, cybersecurity, and enterprise technology. Before joining Techopedia full-time in 2023, his work appeared on VentureBeat,… A deep neural ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Another big element of AI getting stronger is systems becoming better able to remember what they experienced in the past.

Certain melodies promote brain development in premature infants. For several years, a team of scientists have observed this ...

Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer ...

In structural MRI, the signal-to-noise ratio is critical. Discover how denoising algorithms can help to obtain clearer ...