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Credit: Tom Barnes for IBM
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Credit: Tom Barnes for IBM
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Credit: Tom Barnes for IBM
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Credit: Tom Barnes for IBM
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Credit: Tom Barnes for IBM
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This year's IBM "5 in 5" predictions focus on accelerating the discovery of new materials to enable a more sustainable future. In line with the United Nation’s global call-to-action through its Sustainable Development Goals, IBM researchers are working to speed up the discovery of new materials that will address significant worldwide problems. Specifically, we are exploring how technology can be used to reinvent the materials design process to find solutions to such challenges as fostering good health and clean energy as well as bolstering sustainability, climate action and responsible production.
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In the next five years, we will be able to capture CO2 more efficiently and transform it into something useful. IBM researchers are working on a sustainable materials development platform for harnessing CO2 as a raw material for monomers and polymers such as plastic. The instrument pictured here is used to synthesize new CO2-based materials designed with a focus towards recyclability that allows for recovery and reuse.
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A battery evaluation board in the IBM Research-Almaden Battery Lab used to measure the performance of a cobalt- and nickel-free battery developed by IBM researchers. The researchers showed that the battery could have higher power density, lower flammability and much faster charging times than conventional Li-ion batteries.
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A battery tester and cycler in the IBM Research-Almaden Battery Lab, where IBM researchers developed a cobalt- and nickel-free battery that relies on an iodine-based cathode. The researchers showed that the battery could have higher power density, lower flammability and much faster charging times than conventional Li-ion batteries.
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The convergence of emerging technologies allows us to address the discovery process in a fundamentally new way. AI and quantum will increasingly combine with rapidly-advancing high-performance classical computers as a platform for scientific discovery.
The IBM-built Summit supercomputer pictured here is the world's smartest and most powerful supercomputer. (Photo Credit: ORNL)
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IBM designed an approach to accelerate material discovery where AI is a key component across the entire chain of the material discovery process. This includes its cloud-powered chemistry lab RoboRXN, which allows researchers to create new materials by predicting the outcome of chemical reactions. Since earlier this year IBM scientists around the world are using RoboRXN to synthesize materials for carbon capture, photoresists and antivirals. It will soon go to work generating materials for nitrogen fixation.
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The hybrid cloud will enable a flexible infrastructure of emerging technologies to supercharge the discovery of materials, some of which we haven’t imagined yet.
Inside the IBM Cloud in Dallas, Texas. (Credit: Connie Zhou for IBM)
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IBM Chief Executive Officer Arvind Krishna (left) and Director of IBM Research Dario Gil are pictured with a 10-foot-tall and 6-foot-wide "super-fridge,” a dilution refrigerator larger than any commercially available. The “super-fridge” is being custom built by IBM to effectively support quantum systems as they scale to the thousands and eventually million-plus qubit systems of the future that will be capable of solving problems out of reach of today’s most powerful supercomputers (Credit: Connie Zhou for IBM)
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IBM Chief Executive Officer Arvind Krishna (left) and Director of IBM Research Dario Gil are pictured with a 10-foot-tall and 6-foot-wide "super-fridge,” a dilution refrigerator larger than any commercially available. The “super-fridge” is being custom built by IBM to effectively support quantum systems as they scale to the thousands and eventually million-plus qubit systems of the future that will be capable of solving problems out of reach of today’s most powerful supercomputers (Credit: Connie Zhou for IBM)
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:IBM Chief Executive Officer Arvind Krishna (left) and Director of IBM Research Dario Gil are pictured with a 10-foot-tall and 6-foot-wide "super-fridge,” a dilution refrigerator larger than any commercially available. The “super-fridge” is being custom built by IBM to effectively support quantum systems as they scale to the thousands and eventually million-plus qubit systems of the future that will be capable of solving problems out of reach of today’s most powerful supercomputers.
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IBM Quantum Hummingbird is a 65-qubit processor available on the IBM Cloud for members of the IBM Q Network. Quantum processors rely on the mathematics of elementary particles in order to expand computational capabilities, running quantum circuits rather than the logic circuits of digital computers.
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IBM Watson Assistant helps communicate registration and absentee ballot procedures to Idaho citizens (credit: IBM)
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Open Questions with Watson Discovery is available on the US Open mobile app, shown here, and USOpen.org (courtesy: IBM)
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IBM will facilitate several tennis debates among fans on USOpen.org, using insights from Watson Discovery to build pro and con arguments through a new experience called Open Questions with Watson Discovery (courtesy: IBM)
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Match Insights with Watson Discovery uses natural language processing technology to search for and understand millions of sources to gather the most relevant information for fans, ahead of each match (courtesy: IBM)
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IBM’s new POWER10 chip is built for the hybrid cloud era. It includes breakthrough new security features including, memory inception to improve cloud capacity and delivers 40% faster encryption for today’s toughest standards and future encryption standards like post-Quantum encryption, and new enhancements to container security.
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A closer look at the IBM POWER10 7nm processors on a silicon wafer. IBM POWER10 is the first commercialized 7nnm processor and was designed over five years with hundreds of new and pending patents.
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A collection of IBM POWER10 7nm processors on a silicon wafer. The wafer is cut into individual chips that become the “brains” behind IBM Power Systems servers. Each IBM POWER10 chip can deliver up to 3x the capacity and energy efficiency of the previous generation and up to 20x faster AI inferencing.