Understanding Deep Learning. To understand deep learning and how it differs from machine learning, you need to understand ...

As AI can be used to create misleading images and videos, which can help spread misinformation, it is making social media far ...

An interview with Karl Friston, a computational psychiatrist and an architect of an AI developed to emulate natural ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

Researchers at Kyoto University have developed a machine learning model integrated with neural networks to predict the band ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...

Traditional 3D printing relies on trial-and-error methods, manual adjustments, and predefined settings. However, ML ...

"Woody breast" results in up to $200 million annual yield loss. However, a new machine learning model is helping researchers ...

Deep learning is a subfield of machine learning that focuses on building artificial neural networks that can learn and make predictions from data. These neural networks are modeled after the ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.