icc-who-joint-statement:-an-unprecedented-private-sector-call-to-action-to-tackle-covid-19

ICC-WHO Joint Statement: An unprecedented private sector call to action to tackle COVID-19

In a coordinated effort to combat the coronavirus COVID-19 pandemic, the International Chamber of Commerce (ICC) and the World Health Organization (WHO) have agreed to work closely to ensure the latest and most reliable information and tailored guidance reaches the global business community. The COVID-19 pandemic is a global health and societal emergency that requires…

Water and Climate Change

World Water Day 2020 is about water and climate change – and how the two are inextricably linked. This year’s campaign shows how our use of water will help reduce floods, droughts, scarcity and pollution, and will help fight climate change itself. By adapting to the water effects of climate change, we will protect health…

machine-learning-technique-sharpens-prediction-of-material’s-mechanical-properties

Machine-learning technique sharpens prediction of material’s mechanical properties

Scientists at Nanyang Technological University, Singapore (NTU Singapore), Massachusetts Institute of Technology (MIT), and Brown University have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning. Read More https://techxplore.com/news/2020-03-machine-learning-technique-sharpens-material-mechanical.html Views: 0

study-shows-widely-used-machine-learning-methods-don’t-work-as-claimed

Study shows widely used machine learning methods don’t work as claimed

Models and algorithms for analyzing complex networks are widely used in research and affect society at large through their applications in online social networks, search engines, and recommender systems. According to a new study, however, one widely used algorithmic approach for modeling these networks is fundamentally flawed, failing to capture important properties of real-world complex…