Approximate quantum computing: from advantage to applications


Last week at our third Think Q conference at the Thomas J Watson Research Center, industry and academic leaders in quantum computing met to tackle questions about how to bridge...

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Quantum Computing

December 13, 2017

Pruning AI networks without performance loss


IBM researchers developed an AI optimization framework to train deep neural networks more accurately without performance loss.

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AI

December 12, 2017

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

The future of hardware is AI


To make great strides in AI, hardware must change. Starting with GPUs, and then evolving to analog devices, and then fault tolerant quantum computers.

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Systems

December 6, 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