AI

IBM Research AI: Advancing AI for industry and society

IBM Research at EMNLP 2020

At the annual Conference on Empirical Methods in Natural Language Processing (EMNLP), IBM Research AI is presenting 30 papers in the main conference and 12 findings that together aim to advance the field of natural language processing (NLP).

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Driving the usefulness of AI in healthcare: IBM Research showcases work at AMIA 2020

Researchers from our IBM Research labs around the world and from IBM Watson Health have contributed a total of 47 workshops, papers, posters and panels that will be presented at AMIA 2020. These contributions cover a wide range of topics but reflect our overarching goal of driving the usefulness of AI in Healthcare.

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The Rensselaer-IBM Artificial Intelligence Research Collaboration advances breakthroughs in more robust and secure AI

Launched in 2018, the Rensselaer-IBM Artificial Intelligence Research Collaboration (AIRC) is a multi-year, multi-million dollar joint venture boasting dozens of ongoing projects in 2020-2021 involving more than 80 IBM and RPI researchers working to advance AI.

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IBM co-organizes ISWC Semantic Web Challenge on answer type prediction

The International Semantic Web Conference (ISWC) 2020, the premier international forum for the Semantic Web and Linked Data Community, is being held November 1 - 6, 2020. IBM Research AI is proud to participate in this conference as a platinum sponsor.

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IBM Research virtual roundtable reveals AI’s role in hybrid cloud

Watch the replay of the virtual roundtable, “Talking in Code: The New Frontier for AI and Hybrid Cloud,” with researchers from IBM, Columbia University and North Carolina State University discussing how AI can simplify and streamline hybrid cloud environments as well as make them more secure for mission-critical workloads.

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IBM AI algorithms can read chest X-rays at resident radiologist levels

Our team of researchers based at the IBM Research-Almaden lab in California have been pursuing an ambitious challenge of building machines that can perform a preliminary read of chest X-rays provably at the level of at least entry-level radiologists.

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How IBM Research Is Differentiating Its Hybrid Cloud Platform with AI

IBM Research is developing new ways to use AI to assure clients are moving their mission-critical workloads to a secure cloud environment and can manage those workloads across multiple clouds.

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New advances in speaker diarization

In a recent publication, “New Advances in Speaker Diarization,” presented virtually at Interspeech 2020, we describe our new state-of-the-art speaker diarization system that introduces several novel techniques.

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Could AI help clinicians to predict Alzheimer’s disease before it develops?

A new AI model, developed by IBM Research and Pfizer, has used short, non-invasive and standardized speech tests to help predict the eventual onset of Alzheimer’s disease within healthy people with an accuracy of 0.7 and an AUC of 0.74 (area under the curve).

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Advancing the Potential of AI in Medical Imaging at MICCAI 2020

I believe one of the most promising areas for AI to make an impact is in the field of medical imaging. Through advancements in AI that allow for more intelligent and accurate analysis of video and still images, there is hope that clinicians will soon be able to widely augment the data and information they […]

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State-of-the-Art Results in Conversational Telephony Speech Recognition with a Single-Headed Attention-Based Sequence-to-Sequence Model

Powerful neural networks have enabled the use of “end-to-end” speech recognition models that directly map a sequence of acoustic features to a sequence of words. It is generally believed that direct sequence-to-sequence speech recognition models are competitive with traditional hybrid models only when a large amount of training data is used. However, in our recent […]

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