Artificial Intelligence

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 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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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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IBM teams with industry partners to bring energy-efficient AI hardware to hybrid cloud environments

AI’s unprecedented demand for data, power and system resources poses the greatest challenge to realizing this optimistic vision of the future. To meet that demand, we’re developing a new class of inherently energy-efficient AI hardware accelerators that will increase compute power by orders of magnitude, in hybrid cloud environments, without the demand for increased energy.

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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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C4AI: A New Center for Artificial Intelligence to accelerate science and innovation in Brazil

Today we make a great move on AI research in Brazil by announcing that IBM, University of São Paulo (USP) and FAPESP (São Paulo State Research Foundation) are inaugurating the Center for Artificial Intelligence (C4AI) in Brazil, dedicated to developing cutting-edge studies and research on AI to address topics of great social and economic impact. […]

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In Collaboration with the National Institutes of Health, IBM Research Dives Deep into Biomarkers of Schizophrenia

In collaboration with researchers from Harvard Medical School, Mt. Sinai School of Medicine, Stanford University and the Northern California Institute for Research and Education, IBM Research is undertaking a new research initiative funded by the National Institute of Health.

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AI Data Tracker Encourages Scientific Research into COVID-19 Non-Pharmaceutical Interventions

What impact do measures such as shelter-in-place, mask wearing, and social distancing have on the number of COVID-19 cases? How do the COVID-19 quarantine measures that have been implemented by North American countries compare to South American countries? These are just a few questions about the wide range of non-pharmaceutical interventions (NPIs) that have been applied by governments, globally.

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Using machine learning to solve a dense hydrogen conundrum

Hydrogen is the simplest element in the universe, yet its behavior in extreme conditions such as very high pressure and temperature is still far from being well understood. Dense hydrogen constitutes the bulk of the content of giant gas planets and brown dwarf stars and it’s a material of interest for both fundamental physics and […]

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