Precision medicine is a fast-growing field whereby medical treatments are tailored to individual patients – taking factors like genetics and lifestyle into account. A key part of this process is ...

This is where sophisticated AI algorithms (i.e., deep learning) can be relatively more accurate when compared with standard ML algorithms; deep learning or reinforcement learning algorithms tend to be ...

For the algorithm training, the participating teams had access to a large annotated PET/CT dataset. All algorithms submitted for the final phase of the competition are based on deep learning methods.

Popular deep learning algorithms There are a number of very successful and widely adopted deep learning paradigms, the most recent being the transformer architecture behind today’s generative AI ...

U of T researchers have developed a deep learning algorithm that can track proteins to help reveal what makes cells healthy and what goes wrong in disease. From self-driving cars to computers that can ...

Furthermore, deep learning algorithms trained with optical coherence tomography (OCT) data can detect microstructural damage due to glaucoma and its progression over time.

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them. Written by eWEEK content and product recommendations are ...

BEIJING, March 25, 2024 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO) (the "Company" or "MicroAlgo"), today announced that it developed a deep clustering algorithm based on multi-level feature fusion.