Neutrinos are among the most elusive particles in the universe and understanding them may be the key to solving some of the biggest cosmic mysteries. For decades, scientists have been building massive detectors and using intense neutrino sources to capture these ghostly particles. 

The Short-Baseline Near Detector is the newest liquid-argon neutrino detector at the U.S. Department of Energy’s Fermi National Accelerator Laboratory. The SBND collaboration published their first results on Oct. 30 in arXiv and submitted to Physical Review Letters for review and publication, marking a critical demonstration of the powerful tool scientists now have at their disposal.

This result focuses on understanding how neutrinos interact with argon atoms and lays critical groundwork needed to prepare for the Fermilab-hosted Deep Underground Neutrino Experiment at the Long-Baseline Neutrino Facility.

“This is a huge milestone for the collaboration,” said Afroditi Papadopoulou, a physicist at Georgia Institute of Technology and member of the SBND collaboration. “This result is going to be a stepping stone for all the analyses that will follow from this point on.”

When scientists exposed bumblebees to a modern insecticide designed to kill crop pests, the bees did not die any faster than unexposed bees. On the face of it, this seems like the best possible outcome.

However, just because a pesticide does not kill a bee right away does not mean the insect is unharmed. A new study from the Georgia Institute of Technology looked at common eastern bumblebees exposed to sulfoxaflor.

While the bees survived, their ovaries shrank and their gene activity drastically changed. Soon, they almost completely stopped laying eggs. Experts say this proves that just counting dead bees misses the massive, silent damage that chemicals leave behind.

Among the 377 results that OpenAI announced on October 6, 2026, one stood out. It claimed to settle the “quasi-Riemann hypothesis” — a weaker version of the Riemann hypothesis, which is arguably the biggest open question in math. [...] 

Contrary to what mathematicians had long expected, the announced proof didn’t need to introduce any new concepts — it instead unearthed hidden connections between old ones. “The proof is a surprising synthesis of well-known ideas,” said Alexander Dunn of the Georgia Institute of Technology.

The result relied in part on techniques pioneered by Dunn and New York University's Maksym Radziwiłł. Alongside other number theorists, they have been working to understand the proof and what it could mean. Now they’re starting to get answers.