machine learning

Finnish policymakers think use of a new ‘time data’ system based on tech from a local specialist AI maritime logistics company, Awake.AI, can do everything from improve the competitiveness of the nation’s entire maritime logistics to aiding the environment and meeting a national goal of “efficient and sustainable logistics by means of digitalisation”

The fast spread of the highly infectious Delta variant underscores the need for faster identification of COVID-19 mutations. Uniting governments and medical communities in this challenge, the University of Oxford and Oracle’s Global Pathogen Analysis System (GPAS) is now being used by organizations on nearly every continent.

Researchers at the Cockrell School of Engineering have, for the first time, applied a machine learning algorithm to measure the surface roughness of different types of land with a high level of detail. The team used a type of satellite imagery that is more dependable and easier to capture than typical optical photographs but also more challenging to analyze. And they are working to integrate this data into storm surge models to give a clearer picture of what will happen during major weather events.

Ever since the world’s first ever microscope was invented in 1590 by Hans and Zacharias Janssen –a Dutch father and son– our curiosity for what goes on at the tiniest scales has led to development of increasingly powerful devices. Fast forward to 2021, we not only have optical microscopy methods that allow us to see tiny particles in higher resolution than ever before, we also have non-optical techniques, such as scanning force microscopes, with which researchers can construct detailed maps of a range of physical and chemical properties.

Researchers at Duke University have developed a method that uses machine learning, satellite imagery and weather data to autonomously find hotspots of heavy air pollution, city block by city block.

Artificial intelligence could be one of the keys for limiting the spread of infection in future pandemics. In a new study, researchers at the University of Gothenburg have investigated how machine learning can be used to find effective testing methods during epidemic outbreaks, thereby helping to better control the outbreaks.

Since July 2020, the 200 skips that collect Toulouse inhabitants’ waste from the 13 waste disposal centers managed by SUEZ have been equipped with embedded artificial intelligence. Under test since 2019, the ffly4u solution has been deployed with the objectives of reducing fuel consumption, optimizing skip flows and reducing costs by optimizing collection resources.

Researchers have found that out of the more than 300 COVID-19 machine learning models described in scientific papers in 2020, none of them is suitable for detecting or diagnosing COVID-19 from standard medical imaging, due to biases, methodological flaws, lack of reproducibility, and ‘Frankenstein datasets.’

Using genetic and environmental data, research team maps landscape connectivity in mosquitoes that are known vectors for dengue, chikungunya and Zika

“The Queen’s Gambit,” the recent TV mini-series about a chess master, may have stirred increased interest in chess, but a word to the wise: social media talk about game-piece colors could lead to misunderstandings, at least for hate-speech detection software.