10 Bits: the Data News Hotlist– Center for Data Innovation
This week’s list of data news highlights covers June 27-July 3, 2020, and includes posts about using AI to promote original reporting and lowering coronavirus infections on buses.
Jacobs, an engineering company in Dallas, is utilizing AI to develop aspects of a spacesuit for NASA. The software uses generative adversarial networks and genetic algorithms, which integrate elements of different match designs, to fulfill NASA’s size, strength, and temperature criteria. The AI-enabled software application has actually reduced the mass of some spacesuit elements by half.
TuSimple, an autonomous truck start-up, is running 40 autonomous trucks on seven paths in the United States. The company is making approximately 50 journeys a week, transferring products for United Parcel Service (UPS) and U.S. Xpress Enterprises, a national truckload operator. A human chauffeur is on board to take control of if needed.
Researchers from the University of Pennsylvania have developed an algorithm that anticipates which cancer patients are most likely to pass away within 6 months. The algorithm makes its predictions utilizing more than 500 variables from electronic health records. The researchers checked the algorithm on information from 25,000 clients, discovering that 45 percent of the people the algorithm forecasted as high threat passed away in the next 6 months. In contrast, just 3 percent of the clients the algorithm considered to have a low threat died in the period.
Scientists from University College London, University of Bristol, and Imperial College London have actually utilized a supercomputer to figure out that it was likely an asteroid strike, not volcanic eruptions, that led to the extinction of the dinosaurs. The supercomputer modeled the impact of an asteroid effect and volcanic eruptions, highlighting that the asteroid impact might have caused temperature levels to fall by 60 degrees Fahrenheit. In contrast, a volcanic eruption may have increased temperature levels in the world by releasing considerable amounts of co2.
The federal government of Catalonia in Spain is utilizing an app that leverages machine finding out to notify guests about the tenancy levels of buses. The app uses an algorithm to predict tenancy levels using ticket sales information, information from electronic camera feeds inside buses, and tenancy rates from previous years. The cameras count the number of people getting in and exiting buses at stops.
Singapore is providing a contact-tracing device to individuals without smart devices. The devices send Bluetooth signals to nearby gadgets, permitting for the collection of proximity data. Singapore is utilizing the data to determine the contacts of people with COVID-19.
Travelers, an American insurance provider, is using a computer vision system to accelerate the claims process for houses damaged by wildfires. The system, which the business trained on labeled images of damaged homes, can spot if a residential or commercial property is not salvageable. This decision allows the firm to begin processing a claim prior to sending out human inspectors.
Image: Steindy