AI tagged posts

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...

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...

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...

Albert Einstein once said, “You have to learn the rules of the game, and then you have to play better than anyone else.” That could well be the motto at DeepMind, as a new report reveals it has developed a program that can master complex games without even knowing the rules.

DeepMind, a subsidiary of Alphabet, has previously made groundbreaking strides using reinforcement learning to teach programs to master the Chinese boardgame Go and the Japanese strategy game Shogi, as well as chess and challenging Atari video games. In all those instances, computers were given the rules of the game.

But Nature reported today that DeepMind’s MuZero has accomplished the same feats—and in some instances, beat the earlier programs—without first learning the rul...