Researchers make it easier to visualize 3D scenes from photos

A new approach, called WildCAT3D, is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening new possibilities in industries such as gaming, virtual tourism and cultural preservation. 

Hidden clay intensified 2011 Japan megaquake, study confirms

An international research expedition involving Cornell has uncovered new details as to why a 2011 earthquake northeast of Japan behaved so unusually as it lifted the seafloor and produced a tsunami that devastated coastal communities.

Unexpected allies: DNA packaging aids gene expression

Researchers discovered that DNA packaging structures called nucleosomes, which have been traditionally seen as roadblocks for gene expression, actually help reduce torsional stress in DNA strands and facilitate genetic information decoding.

'Songs in Flight,' inspired by Cornell-based project, receives Grammy nod

Based on poems by A&S alumna Tsitsi Ella Jaji, M.A. ’06, Ph.D. ’08, the songs by Shawn Okpebholo bring to life individual stories preserved by the Cornell-based Freedom on the Move project.

Around Cornell

In Bukovina, European empires built new worlds out of inherited materials

Now divided between Romania and Ukraine, the region never fit easily among its neighbors, as regimes including the Habsburg Empire and the Soviet Union tried to remake it in their image.

Soil molecular diversity spikes as microbes decompose plants

As soil microbes break down plant residues, they produce a diverse set of molecules, but this diversity starts to fall after the initial phase of decomposition (roughly 32 days). Understanding how soils retain or emit carbon dioxide during this process may inform climate change resilience efforts.

Around Cornell

Model reveals tradeoffs that limit harm caused by malaria parasite

A new study based on mathematical modeling reveals how parasites’ choice between using resources to replicate within hosts and transmitting to new mosquito and human hosts might limit their virulence.  

Quantum mechanical molecular ‘fingerprints’ solve machine learning mystery

The new method, Semi-Local Density Fingerprints (SLDFs), can predict molecular properties with up to 100 times more accuracy than the current most popular method for modeling molecules and materials.

Around Cornell

Amplifying the beet: New tech makes for crunchier snacks

"Better-for-you" snacks are all the rage. New tech from Cornell food scientists may give beets their time to shine.