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Artificial intelligence tools hold promise for applications ranging from autonomous vehicles to the interpretation of medical images. However, a new study finds these AI tools are more vulnerable than previously thought to targeted attacks that effectively force AI systems to make bad decisions.

At issue are so-called “adversarial attacks,” in which someone manipulates the data being fed into an AI system in order to confuse it. For example, someone might know that putting a specific type of sticker at a specific spot on a stop sign could effectively make the stop sign invisible to an AI system. Or a hacker could install code on an X-ray machine that alters the image data in a way that causes an AI system to make inaccurate diagnoses.

“For the most part, you can make all sorts of changes to a stop sign, and an AI that has been trained to identify stop signs will still know it’s a stop sign,” says Tianfu Wu, co-author of a paper on the new work and an associate professor of electrical and computer engineering at North Carolina State University. “However, if the AI has a vulnerability, and an attacker knows the vulnerability, the attacker could take advantage of the vulnerability and cause an accident.”

Worldwide, more than one billion people are obese. Obesity is a risk factor for cardiovascular disease, diabetes, and some cancers. But permanently losing weight isn’t easy: complex interactions between body systems such as gut physiology, hormones, and the brain are known to work against it. One method for weight loss is intermittent energy restriction (IER), where days of relative fasting alternate with days of eating normally.

“Here we show that an IER diet changes the human brain-gut-microbiome axis. The observed changes in the gut microbiome and in the activity in addition-related brain regions during and after weight loss are highly dynamic and coupled over time,” said last author Dr. Qiang Zeng, a researcher at the Health Management Institute of the PLA General Hospital in Beijing. The study has been published in Frontiers in Cellular and Infection Microbiology.

The authors used metagenomics on stool samples, blood measurements, and functional magnetic resonance imaging (fMRI) to study changes in the composition of the gut microbiome, physiological parameters and serum composition, and brain activity in 25 obese Chinese women and men on an IER diet. Participants were on average 27 years old, with a BMI between 28 and 45.

By Chuck Brooks


Every new year creates a new opportunity for optimism and predictions. In the past couple of years, emerging technology has permeated almost all areas of our lives. There is much to explore! In this article, I focus on three evolving technology areas that are already impacting our future but are only at the early stages of true potential: artificial intelligence, quantum computing, and space systems.

In addition to my own thoughts and perspectives, I reached out to several well-known subject matter experts on those very topic areas to share their valued insights.

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