Nuclear fusion, the process that powers our sun, happens when nuclear reactions between light elements produce heavier ones. It's also happening -- at a smaller scale -- in a Colorado State University laboratory. Using a compact but powerful laser to heat arrays of ordered nanowires, CSU scientists and collaborators have demonstrated micro-scale nuclear fusion in the lab. They have achieved record-setting efficiency for the generation of neutrons -- chargeless sub-atomic particles resulting from the fusion process.
As consumers toss aside old cell phones, tablets and laptops to keep up with the latest technology, landfills are becoming full of the old devices. To address this buildup, scientists are attempting to recover valuable plastics from this electronic waste, or 'e-waste.' Now, one group reports in ACS Sustainable Chemistry & Engineering that they have found an eco-friendly alternative to current methods.
Construction set of magnon logic extended.
Kyoto University researcher reports on a new evaluation method for the type of AI that predicts yes/positive/true or no/negative/false answers.
While predictive policing aims to improve the effectiveness of police patrols, there is concern that these algorithms may lead police to target minority communities and result in discriminatory arrests. A computer scientist in the School of Science at IUPUI conducted the first study to look at real-time field data from Los Angeles and found predictive policing did not result in biased arrests.
'It only took 30 minutes to find passwords for most of the devices and some of them were found only through a Google search of the brand,' says Omer Shwartz, a Ph.D. student and member of Dr. Oren's lab. 'Once hackers can access an IoT device, like a camera, they can create an entire network of these camera models controlled remotely.'
While predictive policing aims to improve the effectiveness of police patrols, there is concern that these algorithms may lead police to target minority communities and result in discriminatory arrests. An IUPUI School of Science computer scientist conducted the first study to look at real-time field data from Los Angeles, CA and found predictive policing did not result in biased arrests.
One in 10 people in America is fighting a rare disease, or a disorder that affects fewer than 200,000 Americans. Researchers have developed a sophisticated and systematic way to identify existing drugs that can be repositioned to treat a rare disease or condition.
A new lightweight, low-cost agricultural robot could transform data collection and field scouting for agronomists, seed companies and farmers. The TerraSentia crop phenotyping robot, developed by a team of scientists at the University of Illinois, will be featured at the 2018 Energy Innovation Summit Technology Showcase in National Harbor, Maryland. The robot measures the traits of individual plants using a variety of sensors, including cameras, transmitting the data in real time to the operator's phone or laptop computer.
Berkeley Lab and Joint Genome Institute researchers took one of the most popular clustering approaches in modern biology -- Markov Clustering algorithm -- and modified it to run efficiently and at scale on supercomputers. Their algorithm achieved a previously impossible feat: clustering a 70 million node and 68 billion edge biological network in hours.