Siemens and Nvidia Collaborate to Expand Digital Services

A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
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Siemens and Nvidia Collaborate to Expand Digital Services

A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)

Siemens has signed a partnership agreement with chip designer Nvidia Corp to create an industrial metaverse - an enhanced virtual reality for companies to reduce the costs of running their factories, buildings and speed up new product design.

The deal is a cornerstone of Siemens Xcelerator, a new open digital platform also launched by the German technology and engineering company on Wednesday.

The cloud-based platform, which will feature hardware, software and digital services, is part of Siemens' ambition to grow its digital business by 10% per year from the 5.6 billion euros ($5.89 billion) generated in 2021.

"Siemens Xcelerator will make it easier than ever before for companies to navigate digital transformation - faster and at scale," Siemens Chief Executive Roland Busch said in a statement.

Siemens, which bought Brightly Software for $1.58 billion on Monday, is moving further into the digital space because it offers faster growth rates and higher margins than its traditional business of trains and industrial drives and automation.

Siemens and Nvidia are just two of the companies which are working in the so-called metaverse, which refers broadly to the idea of a shared virtual platform that people can access through different devices and where they can move through digital environments.

Facebook-owner Meta Platforms and Microsoft and others are also looking at metaverse technology can be used in business and leisure.

Siemens's Xcelerator will be the umbrella term for services which will allow customers to visualize yachts or factories, for example, before construction starts.

"We can essentially replace having to build a thing in the real world first," Tony Hemmelgarn, CEO of Siemens Digital Industries Software, told reporters.

The platform would also ensure products "are going to work well, before we commit to building them in the real world when it becomes really expensive and difficult to change," he added.

The services will be offered to customers through Siemens's software as a service (SaaS) subscription model, to make it more affordable for small and medium-sized companies.

As part of the collaboration, Siemens will connect Xcelerator and its own software and digital twin products with Nvidia's Omniverse, a platform for 3D design.



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.