Primordial particles + synthetic data + triathlon training

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September 4, 2025
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Primordial Particles
A powerful new particle detector, sPHENIX, recently passed a critical test in its effort to decipher the ingredients of the early universe. New results show the detector has the precision to probe the properties of quark-gluon plasma, which sprang into existence right after the Big Bang. 
Top Headlines
3 Questions: The pros and cons of synthetic data in AI
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
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Understanding shocks to welfare systems
Angie Jo’s doctoral studies find that when a collective crisis strikes, nations with shallow social safety nets, like the U.S., respond with massive spending.
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The 68-year-old engineer who hacked triathlon training
Armed with a tinkerer’s mindset, longtime aerospace engineer Bruce Kirch ’81 has found new purpose — and considerable success — in the triathlon.
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#ThisisMIT
In the Media
This bumblebee-like robot might one day pollinate plants on Mars // CNN
CNN visits the lab of Associate Professor Kevin Chen to learn more about his group’s work developing a bee-like robot that can flap its wings up to 400 times a second, flip, and hover, as well as a grasshopper-inspired robot that can hop 20 centimeters into the air in terrains ranging from grass to ice. Chen and his colleagues hope the insect-inspired robots may one day help with tasks like artificial pollination or search-and-rescue operations. As Chen explains, insects have “evolved for millions of years. There’s a lot to be learned from insect motion, behavior, and structure.”
Collegiate Collaboration
MIT researchers work regularly with colleagues at universities across the U.S. to devise new solutions to complex challenges. These connections demonstrate how shared expertise and diverse viewpoints can amplify discovery and accelerate solutions that benefit communities across America and beyond. One recent example of such intercollegiate collaboration was a project in which researchers at MIT and the University of Chicago showed how a specially trained population of immune cells can prevent other immune cells from attacking their own. The work provides a new understanding of immune regulation during infection and could serve as a foundation for interventions to prevent or reverse autoimmune diseases.
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