peer-into-a-giant,-half-formed-ship-that-can-hold-18,000-containers

Peer into a giant, half-formed ship that can hold 18,000 containers

This image of an enormous ship under construction features in a new book and show that challenge common ideas about beauty – while the real ship may help cut carbon emissions Read More https://www.newscientist.com/article/mg24532732-800-peer-into-a-giant-half-formed-ship-that-can-hold-18000-containers/?utm_campaign=RSS%7CNSNS&utm_source=NSNS&utm_medium=RSS&utm_content=home Views: 0

portable-ai-device-turns-coughing-sounds-into-health-data-for-flu-and-pandemic-forecasting

Portable AI device turns coughing sounds into health data for flu and pandemic forecasting

University of Massachusetts Amherst researchers have invented a portable surveillance device powered by machine learning—called FluSense—which can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses and influenza trends. Read More https://techxplore.com/news/2020-03-portable-ai-device-health-flu.html Views: 0

cross-technology-communication-in-the-internet-of-things-significantly-simplified

Cross-technology communication in the Internet of Things significantly simplified

Whether networked vehicles that warn of traffic jams in real time, household appliances that can be operated remotely, “wearables” that monitor physical activity, or industrial plants that detect possible production errors in time and notify technical support, the number of intelligent products that communicate wirelessly with other devices in the Internet of Things (IoT) age…

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…