Microsoft Kicks off Product Event with AI Devices in Focus

 A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, February 9, 2024. (Reuters)
A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, February 9, 2024. (Reuters)
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Microsoft Kicks off Product Event with AI Devices in Focus

 A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, February 9, 2024. (Reuters)
A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, February 9, 2024. (Reuters)

Microsoft kicked off a product event on Monday where it is expected to debut hardware and software related to consumer devices and AI.

At the event on its campus in Redmond, Washington, the Windows maker is expected to reveal a new version of its Surface Pro tablet and Surface Laptop that feature Qualcomm chips based on Arm Holdings' architecture.

After Intel's processors dominated the personal computer market for decades, Qualcomm and other makers of lower-power Arm components have tried to compete in the Windows-PC market.

The Qualcomm Snapdragon X Elite chips include a so-called neural processing unit that is designed to accelerate AI-focused applications, such as Microsoft's Copilot software.

Microsoft held the product event a day before the start of its annual developer conference.

Microsoft aims to extend its early advantage in the race to produce AI tools that consumers are willing to pay for. Its partnership with ChatGPT maker OpenAI allowed it to jump ahead of Alphabet, as other Big Tech companies race to dominate the emerging field.

Last week, OpenAI and Alphabet's Google showcased dueling AI technologies that can respond via voice in real time and be interrupted, both hallmarks of realistic voice conversations that AI voice assistants have found challenging. Google also announced it was rolling out several generative AI features to its lucrative search engine.

The PC industry has been under increasing pressure from Apple since the company launched its custom chips based on designs from Arm and ditched Intel's processors. The Apple-designed processors have given Mac computers superior battery life and speedier performance than rivals' chips that use more energy.

Microsoft tapped Qualcomm to lead the effort to move the Windows operating system to Arm's chip designs in 2016. Qualcomm has exclusivity on Microsoft Windows devices that expires this year. Other chip designers such as Nvidia have efforts under way to make their own Arm-based PC chips, Reuters has previously reported.



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.