Machine Learning

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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Adversarial Robustness Toolbox: One Year Later with v1.4

One year ago, IBM Research published the first major release of the  Adversarial Robustness Toolbox (ART) v1.0, an open-source Python library for machine learning (ML) security. ART v1.0 marked a milestone in AI Security by extending unified support of adversarial ML beyond deep learning towards conventional ML models and towards a large variety of data types […]

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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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IBM Federated Learning – machine learning where the data is

IBM Research recently announced the community edition of a framework for federated learning.

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IBM Research and The Michael J. Fox Foundation Develop Modeling Methodology to Help Understand Parkinson’s Disease Using Machine Learning

In collaboration with The Michael J. Fox Foundation for Parkinson’s Research, our team of researchers at IBM is aiming to develop improved disease progression models that can help clinicians understand how the disease progresses in relation to the emergence of symptoms, even when those patients are taking symptom-modifying medications.

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New Connections Between Quantum Computing and Machine Learning in Computational Chemistry 

In newly published research, scientists integrate neural network techniques on quantum computing - combining the advantages of the two approaches - for more-accurate chemistry simulations.

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IBM Research Pioneers Technologies Behind New AI for IT Capabilities

IBM is launching today a broad range of new AI-powered capabilities and services to help CIOs automate various aspects of IT development, infrastructure and operations, including IBM Watson AIOps and Accelerator for Application Modernization with AI. As is the case with much of IBM’s AI development, significant portions of the technologies underlying Watson AIOps and the Accelerator were born out of IBM Research. 

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Archaeologists Seek to Unearth Mysterious Geoglyphs in Peru Using IBM AI and Geospatial Data

After uncovering a new Nasca Line formation with IBM Watson Machine Learning Accelerator on IBM Power Systems, Yamagata University will deploy IBM PAIRS in the hopes of further discoveries with AI.

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Build Machine Learning models with Minimal Effort with AutoML

The research and development of machine learning (ML) across various domains, such as computer vision, natural language processing, and speech transcription has been growing rapidly. ML is important in many enterprise applications across industries such as manufacturing, finance, healthcare, and marketing. With the growing adoption of ML, it is increasingly challenging to design or choose […]

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Adversarial Learning and Zeroth Order Optimization for Machine Learning and Data Mining

There is a growing number of adversarial attacks and nefarious behaviors aimed at AI systems. To combat this, IBM Research AI will present multiple papers that yield new scientific discoveries and recommendations related to adversarial learning at KDD 2019.

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