Personal Device to Monitor Air Pollution

A chimney is seen in front of residential buildings during a polluted day in Harbin, Heilongjiang Province, China, January 21, 2016. REUTERS One researcher says that air pollution levels in China may have peaked.
A chimney is seen in front of residential buildings during a polluted day in Harbin, Heilongjiang Province, China, January 21, 2016. REUTERS One researcher says that air pollution levels in China may have peaked.
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Personal Device to Monitor Air Pollution

A chimney is seen in front of residential buildings during a polluted day in Harbin, Heilongjiang Province, China, January 21, 2016. REUTERS One researcher says that air pollution levels in China may have peaked.
A chimney is seen in front of residential buildings during a polluted day in Harbin, Heilongjiang Province, China, January 21, 2016. REUTERS One researcher says that air pollution levels in China may have peaked.

To monitor the exposure to the three most harmful pollutants, a French company has unveiled a new device to measure air pollution. The device is characterized with its small size and affordable price, as well as its usability.

The “Flow” device can be used as a handheld sensor or could be attached to pushchairs, purses and bags. It can be bought worldwide for under $200.

The New Scientist website reported Romain Lacombe, CEO of Plume Labs, the Paris-based firm behind the device, who said that the sensor was tested by 100 volunteers this summer in central London.

The crowdsourced results are now being used to map the air quality of more than 2000 kilometers of the city’s pavements.

He added: “We want to help people take ownership of what they breathe.”

A few similar devices are already on sale, but Flow will be the first to be able to detect levels of the big three pollutants: volatile compounds, airborne particulates and nitrogen oxides, according to the website.

Cities depended on a few fixed monitors to track air quality over vast urban areas. But these offered little insight to the average person because pollution varies from block to block due to the effects of trees, traffic patterns and architecture.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.