IBM Research Editorial Staff

The Shared History and Vision Behind the MIT-IBM Watson AI Lab

Artificial Intelligence (AI), perhaps more than any human invention before it, holds the potential to reshape our world. In just the last few years, we have seen a new explosion of AI development, fueled by increased computational power and data availability, and the power of deep learning. New AI methods and startups are springing up […]

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Monitoring FISH Assays in Real Time

Combining our expertise in biology and microfluidics in a collaborative project with Technion – Israel Institute of Technology, our research group at IBM Research-Zurich developed a new method for designing fluorescence in situ hybridization (FISH) assays capable of accurately characterizing the hybridization kinetics for any given set of probes or target sequences. What’s so great […]

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Interactive Dictionary Expansion using Neural Language Models

My team at IBM Research-Almaden has created a novel “human-in-the-loop” approach for AI dictionary expansion. Dictionaries and ontologies are foundational elements of systems that extract knowledge from unstructured text, such as natural language processing, information extraction, and many other AI applications. Keeping dictionaries up to date as new content arrives is a crucial operation. We […]

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Testing Next-Gen Qubits

The qubit, that fundamental element of information processing on a quantum computer, is getting a research boost from the National Science Foundation’s Research Advanced by Interdisciplinary Science and Engineering (RAISE): Transformational Advances in Quantum Systems (TAQS) grant for “materials spectroscopy for next generation superconducting qubits,” one of 25 grants awarded under this effort. The goal […]

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Expert-in-the-Loop Helps AI Transition from Classroom to Internship

At IBM Research we understand that humans and AI can accomplish more together, and our team at IBM Research-Almaden is focused on creating ways for IBM’s consultants to work smarter with new AI technology assets. This approach is known as human-in-the-loop or expert-in-the-loop. Working closely with AI technologies on time-intensive tasks can save experts up […]

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Helping to Improve Medical Image Analysis with Deep Learning

Medical imaging creates tremendous amounts of data: many emergency room radiologists must examine as many as 200 cases each day, and some medical studies contain up to 3,000 images. Each patient’s image collection can contain 250GB of data, ultimately creating collections across organizations that are petabytes in size. Within IBM Research, we see potential in […]

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Video Scene Detection Using Optimal Sequential Grouping

Our team at IBM Research recently developed a new approach for automated video scene detection. Videos are used today for everything from entertainment and marketing to knowledge-sharing, news, and social journaling. Automated scene detection can help consumers and enterprises utilize this video content in new ways. Video scene detection is the task of temporally dividing […]

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Finding Safe Water for Remote Parts of Kenya

Building resiliency to help communities attain water self-sufficiency, combat extreme drought conditions With a population of 46 million, a staggering 41 percent of Kenyans rely on unimproved water sources such as ponds, shallow wells and rivers, a challenge especially great in rural areas. Only nine out of 55 public water service providers in Kenya provide […]

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An End-to-End Approach for Scaling Up Spectral Clustering

Clustering is one of the most fundamental problems in machine learning and data mining tasks, such as image segmentation, power load clustering, and community detection for social networks. But well-known clustering techniques like K-Means, which is based on Euclidean proximity, may not be capable of clustering data that lies on a high-dimensional manifold, as illustrated […]

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Mandarin Language Learners Get a Boost From AI

IBM Research and Rensselaer Polytechnic Institute (RPI) are collaborating on a new approach to help students learn Mandarin. The strategy pairs an AI-powered assistant with an immersive classroom environment that has not been used previously for language instruction. The classroom, called the Cognitive Immersive Room (CIR), makes students feel as though they are in restaurant […]

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Moringa School, IBM Research Train African Data Scientists

New Data Science Course for Kenyan Students Over the last decade, Kenya has emerged as one of Africa’s technical and financial leaders, experiencing economic growth and spurring innovation in fields such as mobile money, pay as you go solar energy and agriculture. However, for hot fields such as AI, cloud and analytics, the skills of […]

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Addressing South Africa’s Cancer Reporting Delay with Machine Learning

Could you make a critical health policy decision using four-year-old data? Cancer registries hold vital data sets, kept tightly encrypted, containing demographic information, medical history, diagnostics and therapy. Oncologists and health officials access the data to understand the diagnosed cancer cases and incidence rates nationally. The ultimate goal is to use this data to inform […]

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