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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CATONSVILLE, MD, July 29, 2021 – INFORMS Executive Director Elena Gerstmann, PhD, FASAE, CAE joins the board of The Council of Engineering and Scientific Society Executives (CESSE). Gerstmann, who has been a member of CESSE for more than 20 years and has served as conference co-chair multiple times, will serve a three-year term.
For many, the rise of commercial space tourism is a vulgar display of wealth and power. Amid several global crises, including climate change and a pandemic, billionaires are spending their cash on launching themselves into space for fun. When Amazon founder Jeff Bezos told reporters after his first space tourism trip on Tuesday that Amazon customers and employees had “paid” for his flight, that only intensified that criticism.
The first wave of COVID-19 claimed the lives of several of Rikard Steiber’s colleagues and friends. One of them was a well-known DJ who had a big digital and public presence. When the partner of the deceased asked Steiber how to gain access to her loved one’s Google Photos, the Silicon Valley executive came face-to-face with the difficulty of navigating a post-mortem digital existence.
What started out as a rush on cleaning supplies, canned goods and toilet paper in preparation for the unknowns of the COVID-19 pandemic has endured as a long-standing problem with the global supply chain.
The genealogy process is typically the most time-consuming part of – and a limiting factor in the success of – investigative genetic genealogy. In his presentation at ISHI, Lawrence Wein will present a systematic approach to efficiently perform the genealogy portion of investigative genetic genealogy. He and his colleagues have formulated a two-stage mathematical model of the genealogy process: an ascending stage that attempts to find the most recent common ancestors (MRCAs) between the unknown individual and each investigated match, and a descending stage that searches for a marriage among the descendants of the MRCAs.
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