A Kansas State University engineering team is developing a technology collection that can make a big difference in the lives of children with developmental disabilities.
Organic Rankine Cycle uses heat in water or exhaust gasses to produce electricity. Often it uses waste heat. Most engineering companies implementing ORC-solutions do so for large systems at high temperatures and pressures.
The 2016 Sonata Hybrid, Hyundai's only gasoline-electric offering, is a roomy sedan with improved fuel economy, value pricing and the longest warranty coverage in the industry.
The upside of Wi-Fi is that it's everywhere - invisibly connecting laptops to printers, allowing smartphones to make calls or stream movies without cell service, and letting online gamers battle it out.
New microfluidic device may speed up DNA insertion in bacteria, the first step in genetic engineering
Genetically engineering any organism requires first getting its cells to take in foreign DNA. To do this, scientists often perform a process called electroporation, in which they expose cells to an electric field.
An exciting new scientific frontier—synthetic biology—took center stage as a celebrated scientist from the Massachusetts Institute of Technology (MIT) recently spoke at the headquarters of the Office of Naval Research ...
Low-power chip processes 3-D camera data, could enable wearable device to guide the visually impaired
MIT researchers have developed a low-power chip for processing 3-D camera data that could help visually impaired people navigate their environments. The chip consumes only one-thousandth as much power as a conventional computer ...
In recent years, some of the most exciting advances in artificial intelligence have come courtesy of convolutional neural networks, large virtual networks of simple information-processing units, which are loosely modeled ...
A new type of ultra-thin semiconductor laser under development at The University of Texas at Arlington can be integrated with mainstream electronics on the same silicon substrate with increased capacity and energy efficiency.
MIT researchers have developed a machine-learning system that can comb through repairs to open-source computer programs and learn their general properties, in order to produce new repairs for a different set of programs.