A Cornell research group led by associate professor Jan Lammerding is studying how cancer cells' ability to repair themselves after deformation could lead to new approaches in diagnosis and treatment. Read more
Professor Tobias Hanrath featured in The Cornell Daily Sun Read more
Huffington Post: One of the tropes of science fiction is the uncanny valley — the phenomenon of a robot looking eerily human-like but not quite right in some intangible way. Another is the breakdown in the distinction between human and machine. And a third is artificial intelligence becoming so complex and sophisticated that humans are no longer able to understand or control it. Read more
A Cornell multi-site research team has developed a chemical compound that shows promise as a oncoprotein inhibitor with broad anti-cancer activity and little effect on non-cancerous cells. Read more
The lab of engineering professor Rob Shepherd has developed a hybrid material featuring soft metal and porous elastic polymer foam that could be used to make a morphing airplane wing. Read more
Phys.org: Imagine an aircraft that could alter its wing shape in midflight and, like a pelican, dive into the water before morphing into a submarine. Cornell University engineering professor Rob Shepherd and his group might help make that futuristic-sounding vehicle a reality. Read more
A team of ECE researchers has won a national competition asking academics to envision more efficient, reliable designs for software-controlled network routing. Read more
Ankur Singh, assistant professor in the Sibley School of Mechanical and Aerospace Engineer, will receive the 2017 Young Investigator Award from the Society for Biomaterials. Read more
Forbes: Monday is Pi Day — in the U.S., at least. People in Europe might find it strange that March 14 would be the designated day to celebrate a ratio cherished by mathematicians and circle lovers around the world, but that’s because Americans also write the date as 3/14, similar to the first three digits of pi. Read more
Phys.org: Of all the fast and powerful computers in the world, our brain remains by far the most impressive. Now an interdisciplinary team of scientists, led by Baylor College of Medicine, aims to reveal the computational building blocks of our brain and use them to create smarter learning machines. Read more
