publications

Imaging molecules in different charge states

IBM researchers, along with collaborators at the Universidade de Santiago de Compostela and ExxonMobil, reported in the peer-review journal Science that they have been able to resolve with unprecedented resolution the structural changes of individual molecules upon charging.

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Cracking the Molecular Code with the Right Type of Quantum Hardware

A new quantum computing approach using exchange-type two-qubit gates constitutes a very promising avenue to calculate molecular properties.

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Why Water Doesn’t Behave Like a “Normal” Liquid

New research suggests that several factors acting synergistically cause the behavioral anomalies of water, an essential yet incompletely understood liquid.

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Focusing on Cell Membranes to Fight Antibiotic Resistance

Coupling ultra-large-scale computer simulation with AI has shown that mechanical stress on cell membranes can affect the potency of antibiotic agents.

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Optomechanics with Gallium Phosphide for Quantum Transduction

Scientists at IBM Research-Zurich use gallium phosphide to create on-chip integrated devices using optomechanics for quantum transduction.

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Deciphering Breast Cancer Heterogeneity Using Machine Learning

A comprehensive analysis of tumor ecosystems that represents an important step in research that may lead to precision medicine approaches to treat breast cancer.

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IBM Sets New Transcription Performance Milestone on Automatic Broadcast News Captioning

IBM sets new performance records for automatic captioning of broadcast news audio, with error rates of 6.5% and 5.9% on two broadcast news benchmarks.

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Unifying Continual Learning and Meta-Learning with Meta-Experience Replay

Meta-Experience Replay (MER) integrates meta-learning and experience replay to achieve state-of-the-art performance on continual learning benchmarks.

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IBM Research AI Advancing, Trusting, and Scaling Learning at ICLR

IBM researchers present recent work on advancing, trusting, and scaling learning at the annual International Conference on Learning Representations (ICLR).

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IBM Research AI at CHI 2019

At the ACM CHI Conference on Human Factors in Computing Systems, IBM researchers present recent work in human-computer interaction in the context of AI.

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A Biologically Plausible Learning Algorithm for Neural Networks

A "biological" learning algorithm for neural networks that learns in an unsupervised fashion and performs well in image classification.

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Harnessing Dialogue for Interactive Career Goal Recommendations

An interactive career goal recommender framework that uses dialogue to incorporate user feedback and interactively improve the recommendations.

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