Technology Leads European Shares Lower

Rate-sensitive technology and real estate were the worst-hit sectors, down 0.7% each. (File/AFP)
Rate-sensitive technology and real estate were the worst-hit sectors, down 0.7% each. (File/AFP)
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Technology Leads European Shares Lower

Rate-sensitive technology and real estate were the worst-hit sectors, down 0.7% each. (File/AFP)
Rate-sensitive technology and real estate were the worst-hit sectors, down 0.7% each. (File/AFP)

European shares kicked off Friday's trade on a weaker note, led by declines in technology and real-estate companies, as investors looked forward to euro zone inflation data for some clarity on the path for interest rate cuts beyond June.

The pan-European STOXX 600 dipped 0.2% as of 0715 GMT, but was on track for its second straight weekly advance owing to a robust corporate earnings season.

All eyes are on the final euro zone inflation reading later in the day, after a report showed European Central Bank board member Isabel Schnabel advocated caution about further rate cuts after a likely first one in June.

Rate-sensitive technology and real estate were the worst-hit sectors, down 0.7% each, Reuters reported.

Meanwhile, personal and household goods led sectoral gains, with luxury group Richemont climbing 6% after quarterly results.

H&M rose 2.5% after RBC upgraded the fashion retailer to "outperform" from "sector perform".

French re-insurer Scor dropped 8.0% after first-quarter results.

Nibe lost 4.6% after Citigroup downgraded the Swedish heat-pump maker to "neutral" from "buy", while German utility E.ON lost 4.1% on trading ex-dividend.



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.