Boston.com | Massachusetts tops U.S. in AI job loss risk, Tufts report says by Annie Jonas

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A Tufts University study released in March finds that Massachusetts faces the highest risk of AI‑driven job disruption in the United States, with an estimated 7.35 percent of its jobs vulnerable in the near term—the largest share among all states. Boston, a major hub of knowledge‑intensive industries, could see about $20 billion in annual income losses, especially in occupations that rely on data, analytical, language‑based, or cognitive skills such as software developers, market‑research analysts, management analysts, and customer‑service representatives; by contrast, roles that depend on physical labor—cement masons, cooks, ship engineers, ambulance drivers—are least exposed. Researchers attribute the state’s heightened exposure to its dense concentration of universities, tech firms, and highly educated workers, and warn that the broader nation could see between 9.3 million and 19.5 million jobs at risk, costing up to $1.5 trillion annually. The report calls for policymakers and society to address the looming “AI hurricane” before it reshapes the workforce.

Read more: https://www.boston.com/news/technology/2026/04/23/massachusetts-ai-job-loss-tufts/

#Massachusetts #TuftsUniversity #GreaterBoston #jobloss #technology

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New #openaccess publication #SciPost #Physics Core

Towards universal unfolding of detector effects in high-energy physics using denoising diffusion probabilistic models

Camila Pazos, Shuchin Aeron, Pierre-Hugues Beauchemin, Vincent Croft, Zhengyan Huan, Martin Klassen, Taritree Wongjirad
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https://scipost.org/SciPostPhysCore.8.4.064

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