AI

IBM Research AI: Advancing AI for industry and society

AI Enables Foreign Language Study Abroad, No Travel Required

Working with IBM Research, RPI has created a first-of-its-kind, six-week credit-bearing course in Mandarin taught in the school’s Cognitive and Immersive Systems Laboratory.

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Text2Scene: Generating Compositional Scenes from Textual Descriptions

At CVPR 2019, IBM researchers introduce techniques to interpret visually descriptive language to generate compositional scene representations from textual descriptions.

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Overcoming Challenges In Automated Image Captioning

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.

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Label Set Operations (LaSO) Networks for Multi-Label Few-Shot Learning

Data augmentation is one of the leading methods to tackle the problem of few-shot learning, but current synthesis approaches only address the scenario of a single label per image, when in reality real life images may contain multiple objects. The IBM team came up with a novel technique for synthesizing samples with multiple labels.

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RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection

Deep neural networks have demonstrated good results for few-shot learning. However, very few works have investigated the problem of few-shot object detection. A team of IBM researchers developed a novel approach for Distance Metric Learning (DML).

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SpotTune: Transfer Learning through Adaptive Fine-Tuning

New techniques make fine tuning an AI model more efficient when doing transfer learning

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IBM Research AI at CVPR 2019

The annual conference on Computer Vision and Pattern Recognition (CVPR 2019) takes place June 16–20 in Long Beach, CA. There, IBM Research AI will present technical papers describing our latest results in our quest to give AI systems sight.

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Beyond Backprop: Online Alternating Minimization with Auxiliary Variables

IBM researchers, in collaboration with NYU and MIT, propose a novel alternative to backprop at ICML 2019 that offers competitive performance.

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Estimating Information Flow in Deep Neural Networks

Understanding of the macroscopic behavior of deep learning neural networks.

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Unveiling Analog Memory-based Technologies to Advance AI at VLSI

At the 2019 VLSI, IBM researchers will present three papers that provide novel solutions to AI computing based on analog devices.

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GANs for Good: Digitizing Sketches of the Earth’s Surface with the AI Behind Deep Fakes

Scientists in IBM Research-Brazil developed a method based on GANs and hand sketches to generate realistic synthetic seismic images.

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IBM Research AI Moves Machine Learning Forward at ICML 2019

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 […]

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