Through advanced autonomy testbed programs, NASA is setting the groundwork for one of its top priorities—the search for signs of life and potentially habitable bodies in our solar system and beyond. The prime destinations ...
The deep neural network models that power today's most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional electronic computing hardware.
Whether it's our phones, cars, televisions, medical devices or even washing machines, we now have computers everywhere.
Every day, researchers at the Department of Energy's SLAC National Accelerator Laboratory tackle some of the biggest questions in science and technology—from laying the foundations for new drugs to developing new battery ...
Humans get a real buzz from the virtual world of gaming and augmented reality, but now scientists have trialed the use of these new-age technologies on small animals, to test the reactions of tiny hoverflies and even crabs.
Researchers from the RIKEN Center for Quantum Computing and Toshiba have succeeded in building a quantum computer gate based on a double-transmon coupler (DTC), which had been proposed theoretically as a device that could ...
It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there is still room for improvement, ...
The daisy world model describes a hypothetical planet that self-regulates, maintaining a delicate balance involving its biogeochemical cycles, climate, and feedback loops that keep it habitable. It's associated with the Gaia ...
As the human population increases and protein demand doubles, modern plant breeders must further optimize soybean plant architecture and per plant yield for modern farming systems.
A new computational method can identify how cause-and-effect relationships ebb and flow over time in dynamic real-life systems such as the brain.
