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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As you have probably noticed, Malaysia is under a movement control order (MCO) right now, which is basically an order for most people to stay at home and avoid unnecessary contact with other people.
The World Health Organization on Wednesday said that the US could become the new center of the coronavirus pandemic, a prediction that every day looks closer to coming true. As of Thursday, the US was only 6,219 infections behind China’s total: China had reported 81,285 infections, while the US had 75,066.
It’s not a matter of if, but when.
That’s what disease experts are saying about a second wave of coronavirus cases, even as governments and health systems across this country are overwhelmed by a still-rising first wave of patients requiring hospital care. But the likelihood is getting more attention across the world, as other countries that are further along in their disease progression start to see the end of their initial wave of Covid-19 cases and, along with low numbers, begin loosening restrictions on movement and gatherings.
The COVID-19 pandemic has brought medical supply chains into the spotlight. There has been a national shortage of testing kits, and at least one drug is already unavailable because of the outbreak, though it hasn’t been publicly named.
The COVID-19 crisis may be unfolding on an unprecedented scale, but to U-M engineering associate professor Siqian Shen, its web of logistical puzzles seems eerily familiar. Where to put testing centers, which public facilities to close, and how to allocate ICU beds and design medical triage processes are the kinds of problems that industrial operations researchers like her have been solving for decades. She believes models that are saving businesses money today could be used to save lives tomorrow.
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