Big Data Analytics

Designing new materials with data-centric systems

For decades, researchers have used high performance computing (HPC) to simulate systems at ever-growing speeds and scales. Recently, the design of HPC systems has started to evolve to handle and exploit the vast amounts of data now produced by both models and real-world data-sources, a paradigm IBM calls Data-Centric Computing (DCS). DCS provides a flexible […]

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Machine Learning on the Cloud and the Search for E.T.

Maybe E.T. the Extra-Terrestrial would have made it home faster if cloud computing was readily available in 1982. For those of you too young to know, E.T., the loveable alien in the blockbuster movie of the same name, was stranded on Earth after being abandoned its interstellar botanist colleagues. Eventually, E.T. is found in a […]

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Ryerson looks to expand collaborations in Africa with IBM

Several weeks ago IBM officially switched on the “open for business” sign at its research lab in Johannesburg, South Africa with a grand opening event. More than 150 guests were treated to a tour of the lab which included demos showing how IBM scientists are using cognitive computing, the Internet of Things and Big Data to support […]

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What if you knew a traffic jam was about to happen?

We all know that hitting rush hour traffic could mean a long drive home. And the most you can do is try to beat it by leaving just before or just after the predictable peak hours. But say there’s an unexpected combination of events; for example, a concert that just ended in a large stadium, […]

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Tracking signals from outer space

This post is part of a series recognizing unique IBM Research projects and their unexpected ties to pop culture, with “30” or “1986” being the common thread. The series will run once a week, celebrating the 30th anniversary of IBM Research – Almaden in San Jose, CA. What is IBM’s unlikely connection to the Halley’s […]

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Deep Thunder now hyper-local on a global scale

Want to know the amount of rain two days from now in a specific location, down to a fraction of an inch, or the intensity of the rain? Our Deep Thunder weather technology was designed to deliver this type of hyper-local, specific weather forecast with upwards of 96 percent accuracy. And it’s about to become […]

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Serving up sake bistro analysis

Don’t let a sea of unstructured data hide good sake What makes a good Japanese sake? Sake is sensitive to temperature. Flavor changes as it is served cold, room temperature, heated warm or hot. Particularly, heating sake to a preferred temperature in a precise amount of time is no easy task to master. Oh, and […]

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Smarter energy

Special Issue of the IBM Journal of Research and Development Current issue of IBM Journal of R&D Large amounts of data are transforming industries, and this has a particularly important and significant effect in the energy domain. Energy stands at the nexus of areas relating to the environment, economic development, and national security. This crucial […]

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Data science for a better world

Saška Mojsilović led the creation of the Ebola Open Data Jam in 2014. A community effort which helped to identify, inventory and classify all open data sources related to the Ebola outbreak, it provided governments, aid agencies and researchers with free and open access to valuable open data related to the epidemic on the platform […]

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Cricket Fans Score Big with Data

All-rounder James Faulkner was scoring well before his double wicket maiden that clinched Australia’s 2015 Cricket World Cup finals win over New Zealand. He was scoring with data, or maybe more appropriately, with #ScoreWithData, IBM’s social media insight into players, teams, matches, brands, cities, and fans during the Cricket World Cup – which is played […]

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Cross-lingual text mining

Discovering knowledge from large volumes of multilingual text data just got easier with new text mining technology from IBM Research. Using globally distributed databases, this cross-lingual text mining technology developed by the research team in Tokyo allows users to search through – and find value in – data written in a language they don’t understand. […]

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