AI

COVID-19 a year later: What have we learned?

We’ve learned a lot during the past year about how to address global crises, but in my mind, one lesson cannot be ignored: The need for more strategic collaborations across institutions and sectors.

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IBM-Stanford team’s solution of a longstanding problem could greatly boost AI

IBM-Stanford team’s solution of a longstanding problem could greatly boost AI.

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Coders worldwide help computers understand natural language

The competition, called NLC2CMD for ‘Natural Language to Command,’ ran as part of the NeurIPS 2020 program until December – and this Saturday, we’ll finally see what the winners have come up with.

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AI to help doctors develop personalized treatments

IBM researchers have created an AI-powered software to help doctors develop personalized treatments for different patients with the exact same diagnosis.

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New IBM-MIT system brings AI to microcontrollers – paving the way to ‘smarter’ IoT

Enter microcontrollers of the future – the simplest, very small computers. They run on batteries for months or years and control the functions of the systems embedded in our home appliances and other electronics.

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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 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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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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