An integrated framework for atmospheric and climate modeling

Cornell University will lead a four-year, $2 million project sponsored by the National Science Foundation to implement a multi-container software framework for the Weather Research and Forecasting Model.

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Do trucks mean Trump? AI shows how humans misjudge images

A study of common mistakes humans made while guessing whether a neighborhood voted for Joe Biden or Donald Trump based on a single Google Street View image may help us make better decisions about visual information.

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Undergrad publishes theory on immune dysfunction in space

Rocky An ’23 proposes a theory that could solve the decades-old mystery of why astronauts’ immune systems become suppressed in space.

Industry incentives create greener crypto mining

Following concern on energy-hogging cryptocurrency mining, Cornell Engineering research says that carbon capture and renewable energy may help mining operations reduce their wasteful footprint.

Students win Qualcomm Fellowship with machine learning project

Chenhui Deng and Andrew Butt, Ph.D. students from the School of Electrical and Computer Engineering, have been awarded a 2022 Qualcomm Innovation Fellowship for their proposal “Power Inference with Self-Supervised Learning.”

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Collaboration to infuse human behavior into epidemiological models

Six Cornell faculty members from three different colleges will work together to improve epidemiological models of infectious disease, including by better incorporating human behavior into the models, using a $1 million grant from the National Science Foundation.

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Two doctoral students receive Ford Fellowships

Cornell doctoral students Dory Peters and Joseph Miranda have been selected to receive 2022 Ford Foundation Fellowships. Honorable mentions were awarded to nine additional Cornell graduate students.

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Nanomolding could speed discovery of new topological materials

Nanomolding of topological nanowires could speed the discovery of new materials for applications such as quantum computing, microelectronics and clean-energy catalysts, according to Cornell researchers.

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Modified microwave oven cooks up next-gen semiconductors

A household microwave oven modified by a Cornell Engineering professor is helping to cook up the next generation of cellphones, computers and other electronics after the invention was shown to overcome a major challenge faced by the semiconductor industry.