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Microsoft’s Chief Product Exec to Step Down

A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, January 25, 2023. (Reuters)
A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, January 25, 2023. (Reuters)
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Microsoft’s Chief Product Exec to Step Down

A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, January 25, 2023. (Reuters)
A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, January 25, 2023. (Reuters)

A top product executive at Microsoft who launched its Surface line of computers and Windows 11 is leaving the company.

Panos Panay is stepping down after nearly 20 years at Microsoft, most recently as chief product officer, according to a staff memo Monday.

“Under Panos’ leadership, the team created the iconic Surface brand with loved products,” said the message to employees from Rajesh Jha, executive vice president of Microsoft's experiences and devices group.

Another longtime executive, Yusuf Mehdi, will take lead on the Windows and Surface businesses and products, Jha said. The note said Panay would be helping with the transition.

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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
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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.