IBM Research publishes close to ideal scaling with new distributed deep learning software which achieved record communication overhead.
Quantity matters when training computers to accurately recognize what’s in an image. The more they see, the more they learn. But, training new visual recognition models from a large number of images using deep learning can quickly become a bottleneck, especially for cloud environments that use commodity hardware and GPUs. Commodity machines with an average […]
Medical images are a rich source of data for clinicians in their diagnosis and treatment of diseases. In fact, specialized fundus photography can help pinpoint tiny pathologies in the eyes of diabetics, revealing signs of diabetic retinopathy (DR), one of the world’s leading causes of blindness. In the vast majority of these cases, early detection […]
Deep learning and neural networks are making significant progress in identifying cancer mitosis. A critical step in the diagnosis of cancer is the analysis of a patient’s biopsy tissue sample, which sometimes can be as small as a pinhead. Even with such a small sample, pathologists can test for the absence or presence of tumor cells […]