EU Outlines Plan for Clean Tech Future Boosted by Subsidies

EU Commission President Ursula von der Leyen addresses the World Economic Forum (WEF), in Davos, Switzerland, January 17, 2023. (Reuters)
EU Commission President Ursula von der Leyen addresses the World Economic Forum (WEF), in Davos, Switzerland, January 17, 2023. (Reuters)
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EU Outlines Plan for Clean Tech Future Boosted by Subsidies

EU Commission President Ursula von der Leyen addresses the World Economic Forum (WEF), in Davos, Switzerland, January 17, 2023. (Reuters)
EU Commission President Ursula von der Leyen addresses the World Economic Forum (WEF), in Davos, Switzerland, January 17, 2023. (Reuters)

The European Union pushed forward on Tuesday with a massive clean tech industrial plan which not only should keep the continent in the vanguard of plotting a greener future but also guarantee its economic survival as it faces challenges from China and the United States.

EU Commission President Ursula von der Leyen presented the outlines for her “Green Deal Industrial Plan” that will make it much easier to push through subsidies for green industries and pool EU wide projects that are boosted with major funding as the EU pursues the goal to be climate neutral by 2050.

Von der Leyen used a speech at the World Economic Forum in Davos to say that on top of feeding its own industry, the 27-nation bloc will become much more forceful in countering unfair trading practices, if they come from Washington, or more importantly, Beijing.

And as it is trying to wean itself of an overdependence on Russia energy since the war in Ukraine started almost a year ago, the EU does not want to become as dependent on China for rare earth materials which are critical to the development of battery storage, hydrogen and wind energy.

Von der Leyen's outline will now become the key driver for debate among the member nations before their 27 leaders meet for a Feb. 9-10 summit on the issue.



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.