Distributing Control of Deep Learning Training Delivers 10x Performance Improvement


For deep learning training, a decentralized approach can boost performance 10x performance over a centralized approach without additional complexity, finds new study.

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AI

December 11, 2017

New AI algorithm recommends right products at the right time


IBM scientists and academic collaborators recently developed an AI-based algorithm able to provide more accurate, timely product recommendations.

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AI

December 8, 2017

Making interaction with AI systems more natural with textual grounding


A new supervised learning algorithm developed to solve a well-known problem in AI called textual grounding will help AI interact more naturally.

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AI

December 7, 2017

TJBot goes digital, and more playground adventures


To make programming TJBot easier and more accessible, we developed the TJBot Swift Playground.

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AI

December 7, 2017

Reducing discrimination in AI with new methodology


A new methodology from IBM Research AI reduces the discrimination present in datasets used to train AI algorithms so they perpetuate as little inequity as possible.

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AI

December 6, 2017

How dictionaries act as strong foundations for training AI systems


IBM researchers conducted experiments to prove how dictionaries can be used to teach AI systems faster and more efficiently than previously possible.

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AI

December 5, 2017

Publishing in The Lancet’s EBioMedicine: New research in AI pushes...


The Lancet’s EBioMedicine journal published a study led by scientists from IBM Research-Australia and the University of Melbourne marking important progress in personalized seizure forecasting with AI.

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Healthcare

December 5, 2017

IBM scientists demonstrate 10x faster large-scale machine learning using GPUs


IBM and EPFL scientists have just published a scheme that learned how to distinguish the difference between cats and dogs using a 30 Gigabyte training dataset in less than a...

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AI

December 4, 2017

Using Neural Networks to Predict Outcomes of Organic Chemistry


At the NIPS 2017 Conference, IBM researchers present a web-based app which takes the idea of relating organic chemistry to a language and applies state-of-the-art neural machine translation methods to...

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AI

December 4, 2017

Helping AI master video understanding


Scientists from the MIT IBM Watson AI Lab developed the Moments in Time Dataset, a large-scale, human-annotated dataset of one million, three-second video clips for action recognition created to accelerate...

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AI

December 3, 2017

IBM Research showcases AI advances @ NIPS 2017


At the 2017 NIPS conference in Long Beach, CA, IBM will showcase new advances from its AI research team via technical papers as well as results from the company's ongoing...

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AI

December 1, 2017