AI tagged posts

AI behind Deepfakes may Power Materials Design Innovations

This image depicts a generative adversarial network creating new alloy compositions
The Generator network (G) uses statistical distributions learned from prior observations to imagine new materials with specific properties. Credit: Wesley Reinhart. All Rights Reserved.

The person staring back from the computer screen may not actually exist, thanks to artificial intelligence (AI) capable of generating convincing but ultimately fake images of human faces. Now this same technology may power the next wave of innovations in materials design, according to Penn State scientists.

“We hear a lot about deepfakes in the news today – AI that can generate realistic images of human faces that don’t correspond to real people,” said Wesley Reinhart, assistant professor of materials science and engineering and Institute for Computational and Data Sciences faculty co-hire, at Penn S...

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Tying Quantum Computing to AI prompts a Smarter Power Grid

power grid

Fumbling to find flashlights during blackouts may soon be a distant memory, as quantum computing and artificial intelligence could learn to decipher an electric grid’s problematic quirks and solve system hiccups so fast, humans may not notice.

Rather than energy grid faults turning into giant problems—such as voltage variations or widespread blackouts—blazing fast computation blended with artificial intelligence could rapidly diagnose trouble and find solutions in tiny splits of seconds, according to Cornell research forthcoming in Applied Energy (Dec. 1, 2021).

“Energy power system failures are an old problem and we are still using classic computational methods to resolve them,” said Fengqi You, the Roxanne E. and Michael J...

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Researchers enhance Alzheimer’s disease classification through AI

Better detection of the disease may lead to earlier treatment, opportunity to participate in clinical trials. Warning signs for Alzheimer’s disease (AD) can begin in the brain years before the first symptoms appear. Spotting these clues may allow for lifestyle changes that could possibly delay the disease’s destruction of the brain.

“Improving the diagnostic accuracy of Alzheimer’s disease is an important clinical goal. If we are able to increase the diagnostic accuracy of the models in ways that can leverage existing data such as MRI scans, then that can be hugely beneficial,” explained corresponding author Vijaya B. Kolachalama, PhD, assistant professor of medicine at Boston University School of Medicine (BUSM).

Using an advanced AI (artificial intelligence) framework based on...

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AI can Predict Early Death Risk

Two New AI Can Predict a Person's Death and a COVID-19 Patients Mortality: One of Them is 90% Accurate!
(Photo : Photo by Go Nakamura/Getty Images)
HOUSTON, TX – JUNE 30: (EDITORIAL USE ONLY) Medical staff wearing full PPE wrap a deceased patient with bed sheets and a body bag in the Covid-19 intensive care unit at the United Memorial Medical Center on June 30, 2020 in Houston, Texas. Covid-19 cases and hospitalizations have spiked since Texas reopened, pushing intensive-care wards to full capacity and sparking concerns about a surge in fatalities as the virus spreads.

Algorithm using echocardiogram videos of the heart outperforms other predictors of mortality. Researchers at Geisinger have found that a computer algorithm developed using echocardiogram videos of the heart can predict mortality within a year.

The algorithm – an example of what is known as machine learning, or artificial...

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