Germany's BMW, India's Tata Tech to Jointly Develop Auto Software

A BMW iX xDrive40 is on display during the Munich Auto Show, IAA Mobility 2021, in Munich, Germany, September 7, 2021. REUTERS/Michaela Rehl
A BMW iX xDrive40 is on display during the Munich Auto Show, IAA Mobility 2021, in Munich, Germany, September 7, 2021. REUTERS/Michaela Rehl
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Germany's BMW, India's Tata Tech to Jointly Develop Auto Software

A BMW iX xDrive40 is on display during the Munich Auto Show, IAA Mobility 2021, in Munich, Germany, September 7, 2021. REUTERS/Michaela Rehl
A BMW iX xDrive40 is on display during the Munich Auto Show, IAA Mobility 2021, in Munich, Germany, September 7, 2021. REUTERS/Michaela Rehl

BMW Group and Tata Technologies will form a joint venture to develop automotive software for the German luxury carmaker, the Indian engineering services company said on Tuesday.
India is a software development hub for global automakers and auto parts makers including Volvo and Magna International, while also witnessing rising investments from companies including Toyota Motor and Mercedes Benz to boost production, Reuters reported.
The BMW-Tata Technologies venture, the first partnership between the two, will develop automotive software for automated driving and the dashboard system among other features, the Tata company said but didn't disclose any financial details of the agreement.
The BMW Group and Tata Technologies will each hold a 50% stake in the newly-formed company, it added.
BMW has a manufacturing plant in the southern Indian city Chennai, and gets its engines in the country from Force Motors , while TVS Motor helps make the German company's motorcycles.
The joint venture will operate in Chennai, Bengaluru, and Pune and will commence operations with 100 employees, Tata Technologies said.
Tata Technologies, a unit of India's top carmaker by revenue Tata Motors, provides engineering and technology services to auto, aero and heavy machinery firms including Honda , Ford and Airbus.
Its shares were up more than 7% after the announcement, before trimming some gains.
The company went public in November last year to become the first Tata Group company to launch an initial public offering in nearly two decades. Its shares have more-than-doubled from its listing price.



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.