PAIRS

Peeking into AI’s ‘black box’ brain — with physics

Our team has developed Physics-informed Neural Networks (PINN) models where physics is integrated into the neural network’s learning process – dramatically boosting the AI’s ability to produce accurate results. Described in our recent paper, PINN models are made to respect physics laws that force boundaries on the results and generate a realistic output.

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IBM PAIRS Geoscope Reveals Environmental and Societal Impacts of COVID-19

Using sophisticated geospatial technology known as IBM PAIRS Geoscope, IBM researchers are shedding light on the environmental and societal impacts of the COVID-19 pandemic.

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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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Unlocking a 140-year-old Secret in Physics

In a new study in the journal Nature, an IBM Research-led collaboration describes an exciting breakthrough in a 140-year-old mystery in physics — one that enables us to unlock the physical characteristics of semiconductors in much greater detail and aid in the development of new and improved semiconductor materials.

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