BALTIMORE, MD, April 1, 2025 – Can we really trust AI to make better decisions than humans? A new study says … not always. Researchers have discovered that OpenAI’s ChatGPT, one of the most advanced and popular AI models, makes the same kinds of decision-making mistakes as humans in some situations – showing biases like overconfidence of hot-hand (gambler’s) fallacy – yet acting inhuman in others (e.g., not suffering from base-rate neglect or sunk cost fallacies).
You are swimming in an ocean of data and don’t even realize it. All around you are invisible amounts of data that would be staggering to try to comprehend. Thousands of smartphones and smart devices are talking to, sending and downloading vast amounts of data, video, audio, words, numbers, images, you name it. Everything from the latest movie on Netflix to someone’s radiology results from a cancer screening.
Mom-and-pop businesses are trying to adapt to the soaring cost of eggs. The owners of four egg-centric restaurants across the country show how they are coping with this threat to their livelihoods.
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The delta variant of COVID-19 is spreading at an extremely rapid rate. It is now the dominant strain in the United States – and the world – and the number of infections, hospitalizations and deaths continue to rise. Outbreaks are among the highest in places with low vaccination rates.
New evidence about the Delta variant’s ability to infect and spread even among those who are fully vaccinated has been particularly alarming for parents of young children who are still not eligible for the Covid-19 vaccine.
The Centers for Disease Control and Prevention (CDC) disseminates reams of data on COVID-19, including the number of confirmed infections, the number of deaths, the number of people vaccinated, breakthrough infections, and much more. As the delta variant spreads, solidifying its hold as the dominant variant in circulation, government and health officials’ pleas for people to be vaccinated ring louder with each passing day.
Scientists looking for innovative ways to deliver healthcare have long searched for mechanisms that can enable the right intervention to be delivered at the right time. Traditional delivery mechanisms have been limited both to the availability of a provider (e.g., a physician) and the location of care (e.g., a hospital or outpatient clinic). In recent years, however, numerous technological advancements—including wearable devices, mobile technologies, and the widespread development and use of user-friendly smartphone applications—have resulted in significant changes in how care is delivered. For example, mobile Health (mHealth) technologies are now commonly used to deliver interventions in a self-service and personalized manner, reducing the demands on providers and lifting limitations on the locations in which care can be delivered. Successful examples of mHealth interventions include programs to:
Now that the Supreme Court has ruled that student-athletes are able to earn money from their name, image and likeness, more than a dozen states have enacted laws to govern the practice. These states include Illinois, Ohio and Pennsylvania.
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