At CVPR 2019, IBM researchers introduce techniques to interpret visually descriptive language to generate compositional scene representations from textual descriptions.
At CVPR 2019, IBM researchers introduce an improved method to bridge the semantic gap between visual scenes and language to produce diverse, creative and human-like captions.
Our team of IBM researchers published research in Radiology around a new AI model that can predict the development of malignant breast cancer in patients within the year, at rates comparable to human radiologists.
IBM researchers, in collaboration with NYU and MIT, propose a novel alternative to backprop at ICML 2019 that offers competitive performance.
Understanding of the macroscopic behavior of deep learning neural networks.
IBM researchers launch the first in-depth, large scale study of time courses when different antibodies appear, and their correlations to type 1 diabetes.
At the 2019 VLSI, IBM researchers will present three papers that provide novel solutions to AI computing based on analog devices.
Scientists in IBM Research-Brazil developed a method based on GANs and hand sketches to generate realistic synthetic seismic images.
At the 36th International Conference on Machine Learning (ICML 2019), June 10–15 in Long Beach, CA, IBM Research AI will present recent technical advances in machine learning for AI and data science. We’ve led the exploration and development of machine learning technologies for decades, and now we’re progressing the AI field through our portfolio of […]
IBM and Johns Hopkins University School of Medicine Discover Unique, Pathogenic Autoimmune Cells in Type 1 Diabetes
Researchers at JHU and IBM identify new cells involved in the autoimmune attack on insulin-producing cells in type 1 diabetes.
IBM scientists use crowdsourcing and AI techniques to explore what different types of conversational laughter can tell us.