deep learning

Automating Code Generation for Deep Learning Models from Research Papers

In an upcoming presentation at the 2018 AAAI Conference, our team of deep learning experts at IBM Research India propose a new and exploratory technique that automatically ingests and infers deep learning algorithms in published research papers and recreates them in source code for inclusion in libraries for multiple deep learning frameworks (Tensorflow, Keras, Caffe). With […]

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End-to-End Open-Domain QA via Multi-Passage Reading Comprehension

Recently, impressive progress has been made in neural network question answering (QA) systems which can analyze a passage to answer a question. These systems work by matching a representation of the question to the text to find the relevant answer phrase. But what if the text is potentially all of Wikipedia?  And what if the […]

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Distributing Control of Deep Learning Training Delivers 10x Performance Improvement

My IBM Research AI team and I recently completed the first formal theoretical study of the convergence rate and communications complexity associated with a decentralized distributed approach in a deep learning training setting. The empirical evidence proves that in specific configurations, a decentralized approach can result in a 10x performance boost over a centralized approach […]

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Automated knowledge base construction solution wins at ISWC 2017

Automated knowledge base construction is a long-standing challenge in AI. The goal is to abstract concise representations from various sources of knowledge, such as unstructured documents, web data and knowledge bases. The outcome is a knowledge graph that can be used to enhance downstream applications like search engines and business analytics. Highly accurate and extensive […]

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Open standards for deep learning to simplify development of neural networks

Among the various fields of exploration in artificial intelligence, deep learning is an exciting and increasingly important area of research that holds great potential for helping computers understand and extract meaning from data, e.g. deciphering images and sounds. To help further the creation and adoption of interoperable deep learning models, IBM joined the Open Neural […]

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New model augments visual recognition to help AI identify unfamiliar objects

Applications of AI are quickly becoming ubiquitous, powered by algorithms that learn from large amounts of data. Humans, on the other hand, learn very differently: they are able to reason based on a small number of assumptions and a set of logical rules. Our IBM Research team designed a method capable of combining these two […]

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Using Deep Learning to Forecast Ocean Waves

IBM Research-Ireland is using AI techniques such as deep learning to forecast a physical process; namely, ocean waves.

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IBM Research achieves record deep learning performance with new software technology

IBM Research publishes close to ideal scaling with new distributed deep learning software which achieved record communication overhead.

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Using distributed learning to boost Watson’s Visual IQ

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 […]

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Spotting Diabetic Retinopathy by analyzing medical images pixel by pixel

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 […]

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Pathologists Look Forward to a Future with Deep Learning and Neural Networks

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 […]

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