With the world’s population projected to reach ~10 billion in 30 years, scientists are working to use genetic technologies to address future food security problems. They have had some success, such as using CRISPR-Cas9 gene editing process to develop more disease-resistant pigs, but the advance is useless if the pigs cannot be brought to market and if no one will eat their bacon.
Imagine being able to measure your blood sugar levels, know if you’ve had too much to drink, and track your muscle fatigue during a workout, all in one small device worn on your skin. Engineers at the University of California San Diego have developed a prototype of such a wearable that can continuously monitor several health stats—glucose, alcohol, and lactate levels—simultaneously in real-time.
Energy-efficient AI imaging technology developed by UCLA engineers works before a photo is snapped. In the diagrammatic example, the camera’s diffractive layers (colored surfaces in the middle) were custom-designed to recognize the handwritten number “2” but diffract light from other numbers, turning it into background noise.
The University of South Florida’s Center for Urban Transportation Research (CUTR) was selected in 2021 by the U.S. Department of Energy Vehicle Technologies Office to receive a $3.5M award. CUTR joined 23 other organizations in advancing the important R&D necessary to decarbonize the transportation sector. New technologies are now available for license.
A WSU research team has created a recyclable carbon-fiber reinforced composite that could eventually replace the non-recyclable version used in everything from modern airplane wings and wind turbines to sporting goods.
New research: A mini-version of antibodies, called nanobodies, could eventually be used to treat neurocognitive disorders.
The approach could expedite the antibody-creation process and accelerate the discovery of therapeutic antibody candidates and vaccines.
The material naturally exists between two states, a finding that could pave the way for more complex computing in the future. Quantum computers with the ability to perform complex calculations, encrypt data more securely, and more quickly predict the spread of viruses may be within closer reach thanks to a discovery by Johns Hopkins researchers.