In 2018, when Jeff Rutherford, a graduate student from Stanford University, began his doctorate studies, the volume of methane entering the atmosphere from oil and gas extraction operations, majorly as a result of fracking, was raised as an important issue.
A collaboration between Monash University’s Grid Innovation Hub, Worley and Palisade Energy Ltd is using machine learning technology to accurately predict wind and solar power to securely integrate them into the national electricity grid.
A most recent climate action research initiative will make use of AI, 5G, and data science to map wild plants and ancient forests on remote Indonesian islands, with the help of experience gained from a similar biotechnology project in the United Kingdom’s legendary Sherwood Forest.
Blue Ocean Robotics, the manufacturer of the autonomous disinfecting robot UVD Robots equipped with UV-C light, has been selected by Gallup McKinley County Schools (GMCS) in New Mexico to supply 37 UVD Robots to the districts’ schools to help fight the Coronavirus and other infectious diseases.
The goal of ALARM, a European R&D&I project managed by the Universidad Carlos III de Madrid (UC3M) is to design a system that is capable of tracking and providing early warnings regarding natural events that pose a threat to aviation safety.
Cleaning and disinfecting public spaces have become increasingly important during the COVID-19 pandemic. Based on Lingnan University in Hong Kong (LU)’s development of a successful free sanitisation service for over 1,000 subdivided flats by a mobile UV-C germicidal system last year, Lingnan University in Hong Kong has achieved another breakthrough by constructing a smart Autonomous UV-C Disinfection Robot to provide thorough and efficient UV disinfection for large indoor establishments. While the whole disinfection process is automatic, it is far more effective and five times faster than manual disinfection with 1:99 diluted bleach.
SLAMcore, a leader in Spatial Intelligence for autonomous robot location and mapping, has added new dense 2.5D mapping capabilities to its latest software release, which is available now. Robots require maps of their surroundings and the objects within it to navigate effectively - these maps can include point clouds, 2D flat maps, 2.5D dense maps (with heights), 3D maps and semantic maps which identify objects (people/tables/chairs/windows etc).
Mindfields, the global intelligent automation and artificial intelligence (AI) advisory firm and Faethm, a fast-growing and globally unique AI analytics and SaaS platform, today announced their partnership to transform the future of the workforce. The partnership will enable the integration of Mindfields’ proprietary automation solutions portfolio with Faethm’s analytics platform that uses machine and deep learning. The partnership will merge the two firms’ complementary capabilities, offering a powerful automation solution to clients.
Recently, a research team from Peking University began working on a system designed to forecast earthquakes days before they occur with promisingly accurate results. People have begun moving into the digital world of harnessing big data and training AI to greatly assist mankind.
Today's weather forecasts come from some of the most powerful computers on Earth. The huge machines churn through millions of calculations to solve equations to predict temperature, wind, rainfall and other weather events.