Deep learning shows a lot of promise in healthcare, especially in medical imaging, where it can help improve the speed and accuracy of diagnosing patient conditions. But it also faces a serious ...

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

Protein surface serves as an important representation of protein structure, determining the biological functions. With the flourishing of deep learning, various descriptors for protein surface have ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-supervised learning has been a fast-rising trend in artificial ...

AI has classically come in three forms, supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is where AI is given many example scenarios and the right answer for ...

Self-supervised learning (SSL) approaches have recently become state-of-the-art (SOTA) for personalized recommendation. The core idea of SSL in recommendation is to learn better user and item ...

Self-supervised learning allows a neural network to figure out for itself what matters. The process might be what makes our own brains so successful. For a decade now, many of the most impressive ...

For a decade now, many of the most impressive artificial intelligence systems have been taught using a huge inventory of labeled data. An image might be labeled “tabby cat” or “tiger cat,” for example ...