Process multiple data types: Deep learning systems can process both structured ... For instance, the model is fed with training data made up of labeled images identifying cats and other animals.

Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more ...

Buzzwords and acronyms abound in the world of AI and seem to be multiplying faster than new model releases. Take this short quiz to test your ability to talk tech (and refer to the glossary if you get ...

Wide areas of the pharmaceutical industry are ripe for enhancement, as examples from the industry’s top innovators reflect.

Developed by Google, TensorFlow is a software framework that’s widely used for training and inference of neural networks.

Linear normalization, which is most common, involves shifting the number axis so the data is balanced around zero, and then ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

AIRS Medical, a pioneer in AI-powered MRI reconstruction technology, has partnered with Incepto, Europe's leading provider of AI solutions for ...

Naval Postgraduate School (NPS) faculty researchers Brij Agrawal (right) and Leonardo Herrera observe U.S. Navy Ensign Nicholas Messina positionin ...

To bridge these gaps, the POSTECH team developed an innovative imaging method powered by explainable deep learning ... process: The Resolution Enhancement phase converts low-resolution MIR-PAM ...

WorldQuant University (WQU), the not-for-profit, no-fee university, is expanding its global digital skills education with the Applied AI Lab: Deep Learning for Computer Vision.