In the evolving field of cancer biology and treatment, innovations in organ-on-a-chip microdevices allow researchers to discover more about the disease outside the human body. These organs-on-chips serve as a model of the state an actual cancer patient is in, thus allowing an opportunity to finding the correct treatment before administering it to the patient. At Texas A&M … [Read more...] about New organ-on-a-chip finds crucial interaction between blood, ovarian cancer tumors
Computers
New simulator helps robots sharpen their cutting skills
Researchers from the University of Southern California (USC) Department of Computer Science and NVIDIA have unveiled a new simulator for robotic cutting that can accurately reproduce the forces acting on a knife as it slices through common foodstuffs, such as fruit and vegetables. The system could also simulate cutting through human tissue, offering potential applications in … [Read more...] about New simulator helps robots sharpen their cutting skills
Topology in biology
When can we say that a certain property of a system is robust? Intuitively, robustness implies that, even under the effect of external perturbations on the system, no matter how strong or random, said property remains unchanged. In mathematics, properties of an object that are robust against deformations are called topological. For example, the letters s, S, and L can be … [Read more...] about Topology in biology
Exoskeletons have a problem: They can strain the brain: The devices can be ‘like bad dance partners,’ new study suggests
Exoskeletons -- wearable devices used by workers on assembly lines or in warehouses to alleviate stress on their lower backs -- may compete with valuable resources in the brain while people work, canceling out the physical benefits of wearing them, a new study suggests. The study, published recently in the journal Applied Ergonomics, found that when people wore exoskeletons … [Read more...] about Exoskeletons have a problem: They can strain the brain: The devices can be ‘like bad dance partners,’ new study suggests
Team streamlines neural networks to be more adept at computing on encrypted data
This week, at the 38th International Conference on Machine Learning (ICML 21), researchers at the NYU Center for Cyber Security at the NYU Tandon School of Engineering are revealing new insights into the basic functions that drive the ability of neural networks to make inferences on encrypted data. In the paper, "DeepReDuce: ReLU Reduction for Fast Private Inference," the team … [Read more...] about Team streamlines neural networks to be more adept at computing on encrypted data